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AI Security Engineer

Job Information

Job Title: AI Security Engineer
Type: Contract 1 year renewable
Sub-Business Unit: Technology Assurance
Location / Coverage: Abu Dhabi

Job Purpose

Engineer and validate security controls for AI/ML and agentic AI services used by the organization, including Azure AI Services, Azure OpenAI, Azure Machine Learning, AI-enabled applications, and third-party AI platforms. The role protects sensitive and regulated data, identities, models, APIs, integrations, and AI infrastructure throughout the AI lifecycle.

Primary Responsibilities

Maintain an inventory of AI/ML assets, models, inference endpoints, agents, connectors, plugins, training pipelines, and supporting infrastructure.Perform security reviews for Azure OpenAI, Azure AI Foundry/Services, Azure Machine Learning, and approved third-party AI services.Assess authentication, authorization, managed identities, service principals, API keys, secrets, network exposure, and rate-limiting controls.Implement and validate least-privilege RBAC, private endpoints, firewall rules, network isolation, encryption, and secure secret storage.Assess AI data flows for PII/PHI and confidential data exposure across prompts, outputs, RAG repositories, connectors, and training datasets.Configure or validate content safety filters, prompt guardrails, custom blocklists, and abuse-prevention controls.Test for prompt injection, jailbreaks, insecure output handling, excessive agency, data leakage, model misuse, and integration abuse.Review model registry permissions, model/version integrity, dependency provenance, and AI supply-chain security.Develop AI-specific logging, monitoring, and detection use cases for anomalous API activity, prompt attacks, privilege misuse, and data exposure.Support Shadow AI discovery and enforcement using approved CASB/SWG, endpoint, and cloud controls.Conduct threat modelling and security testing for AI use cases before production release and following material changes.Track AI security findings, risks, exceptions, and remediation actions to closure; support risk acceptance where required.Produce AI security assessment reports, data exposure findings, control validation evidence, and maturity recommendations.Coordinate with AI Governance, Privacy, Legal, Data, Cloud, AppSec, SOC, and business owners.

Secondary Responsibilities

Support development of secure AI patterns, guardrails, standards, and reusable review checklists.Contribute to AI incident response playbooks and red-team exercises.Review third-party AI vendors, data processing terms, retention, and residency controls.Maintain awareness of NIST AI RMF, OWASP Top 10 for LLM Applications, ISO/IEC 42001, and emerging AI threats.

Any Other Responsibilities

Any other responsibilities assigned by the Line Manager in line with business and client requirements.

Skills / Certifications

Microsoft Azure security/AI certifications such as SC-100, AZ-500, AI-102 or equivalentCISSP, CCSP, or CISM (preferred)AI security or ML security training; OWASP LLM knowledgeCKS/Kubernetes or DevSecOps certification (advantage)

Soft Skills

Excellent written and verbal communicationAnalytical thinking and problem solvingAttention to detail and qualityAccountability and ownershipTeamwork and stakeholder collaborationAbility to prioritize and meet deadlinesAbility to work at client sites and provide after-hours support when required

Minimum Work Experience

3+ years of cybersecurity engineering experience, including cloud security, application security, or data security, with practical exposure to AI/ML or agentic AI platforms.

Education

Bachelor's degree in Computer Science, Cybersecurity, Information Technology, Information Systems, Engineering, or equivalent.Postgraduate qualification in Information/Cyber Security is an advantage.

Preferred Skill Set

Azure AI/OpenAI/ML security and cloud-native controlsIAM, managed identities, API security, secrets, and network isolationAI threat modelling, prompt injection testing, and secure RAG patternsDSPM, DLP, classification, and regulated data protectionPython/PowerShell, CI/CD, and security automation

GCS is acting as an Employment Business in relation to this vacancy.

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Director of Security Engineering & Operations

Location: Warsaw, Poland
Reporting to: Chief Information Security Officer (CISO)

Lead the next generation of security engineering

Are you a strategic cybersecurity leader who can combine deep technical expertise with the vision to build and scale a world-class security function?

We're partnering with an ambitious, technology-led organisation to appoint a Director of Security Engineering & Operations. This is a senior leadership opportunity to shape the technical security strategy across a data-driven product environment, protecting critical platforms, sensitive information and the systems that power the business.

Working directly with the CISO and partnering closely with Product, R&D, Data Engineering and IT leadership, you'll define the security engineering roadmap, strengthen security operations and help embed security into the development lifecycle - enabling teams to innovate confidently without compromising security.

This role is ideal for a forward-thinking security leader who enjoys building, improving and influencing at scale, with a particular interest in cloud security, application security and the evolving challenges of AI.

The opportunity

You'll take ownership of a broad technical security remit, combining strategic direction with practical execution. Your priorities will include:

Security strategy: Define and deliver the technical security roadmap across product environments, data platforms, pipelines and the corporate estate.Application security: Mature the Secure SDLC, embedding threat modelling, CI/CD security controls, vulnerability management and software supply chain risk management into engineering workflows.Data & AI security: Strengthen data protection, access governance, classification and secrets management, while shaping secure adoption of AI, LLMs and agentic workflows.Security operations: Own the strategic relationship with an outsourced 24/7 SOC, drive continuous SIEM improvement and enhance incident response, detection and recovery capabilities.Cloud & infrastructure security: Improve security across cloud-native environments, including IAM, containers, Kubernetes and supporting technologies.Leadership & culture: Lead application and infrastructure security engineering teams, develop talent and build a culture where security is collaborative, pragmatic and embedded from the outset.Stakeholder influence: Partner with senior technology leaders, manage external security providers and communicate technical risks and priorities clearly to executive stakeholders.

What success looks like

In your first 12 months, you'll have the opportunity to:

Establish a unified security engineering roadmap aligned with engineering and business priorities.Drive measurable improvements in Secure SDLC adoption across Web and Data Engineering.Strengthen SOC operations and improve mean time to detect (MTTD) and mean time to respond (MTTR).Develop a capable, accountable security engineering team with clear ownership and performance measures.Introduce practical, developer-friendly security controls that reduce risk without creating unnecessary friction.

What we're looking for

We're keen to speak with established cybersecurity leaders who combine strong technical foundations with the ability to influence, build and deliver.

You'll ideally bring:

Proven experience building, scaling or transforming security engineering programmes within a product-led or technology-driven organisation.Strong application security expertise, including OWASP, API security, SAST, DAST, threat modelling and secure development practices.Experience securing cloud environments, data platforms and pipelines, with knowledge of IAM, Kubernetes, containers and cloud-native security tooling.A solid understanding of AI and LLM security risks, controls and governance, with the ability to guide the secure adoption of emerging technologies.Experience overseeing security operations, including SIEM improvement, incident response and relationships with outsourced SOC providers.A track record of leading and developing technical security teams while building strong relationships with engineering and product stakeholders.Experience managing penetration-testing partners and external security vendors.The ability to translate complex technical risks into clear, actionable decisions for both technical teams and senior executives.

The leadership style that will thrive

You're a builder who takes ownership, makes risk-based decisions and focuses on meaningful outcomes. You understand that effective security isn't simply about adding controls - it's about helping people make better decisions, enabling innovation and making secure ways of working the natural choice.

You're curious about emerging technology, comfortable operating at both strategic and technical levels, and motivated by the opportunity to develop people, improve maturity and make a lasting impact.

Why consider this opportunity?

Strategic influence: Work directly with the CISO and senior technology leadership to shape the organisation's security direction.Broad ownership: Lead across application security, infrastructure security, data protection, AI security and security operations.Technology at scale: Help protect critical data assets and the platforms and engineering processes that support them.Build and transform: Develop security capabilities, strengthen team ownership and deliver measurable improvements.Future-focused security: Help define how emerging AI technologies are adopted securely in a modern product environment.

Interested in learning more?

If you're a senior security leader ready to shape strategy, develop high-performing teams and build security capabilities for the next generation of technology, we'd welcome a confidential conversation.

Apply today to find out more about this opportunity.

GCS is acting as an Employment Agency in relation to this vacancy.

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Application Security Engineer

Reports to

Business Information Security Officer (BISO)

Role Summary

We are seeking a hands-on Application Security Engineer to strengthen the security of software products, platforms, APIs, cloud services, and supporting development practices. The role embeds security throughout the software development lifecycle by partnering with product, architecture, engineering, and platform teams to prevent, identify, and remediate vulnerabilities early.

The successful candidate combines strong software engineering capability with practical application security expertise and enables development teams through automation, reusable patterns, coaching, and risk-based guidance rather than acting as a late-stage approval gate. The role supports a secure-by-design approach in which software producers take ownership of customer security outcomes.

Responsibilities

Embed application security requirements and activities across requirements, architecture, design, development, testing, release, and operations.Facilitate threat modeling and security design reviews for applications, APIs, integrations, cloud-native services, and AI-enabled capabilities.Perform secure code reviews and targeted manual security testing; reproduce vulnerabilities and provide actionable remediation guidance.Engineer, integrate, and continuously improve SAST, DAST, software composition analysis, secrets detection, and related controls in CI/CD workflows.Define and maintain secure coding standards, reusable security patterns, reference implementations, and developer guidance.Partner with Solution Architects, Security Architects, and platform teams to address authentication, authorization, data protection, cryptography, logging, and secure configuration.Triage technically complex application and dependency findings, validate exploitability, and advise on severity, business impact, and remediation options.Support development teams in correcting vulnerabilities and verify that fixes address root causes without introducing regressions.Coordinate application penetration tests and security assessments; translate findings into sustainable engineering improvements.Contribute application security evidence to product risk reviews, audits, and regulatory readiness, including expectations arising from the Cyber Resilience Act.Engineer security for desktop clients and hybrid desktop-to-cloud products, including secure update mechanisms, code signing, release integrity, and artifact provenance.Implement SBOM generation and dependency governance workflows that support software component visibility, vulnerability response, and regulatory readiness.Define and verify security requirements for engineering calculation, configuration, and specification workflows, protecting the integrity and correctness of customer outcomes and project data.Support security incident analysis where application behavior, source code, APIs, or software dependencies are involved.Support coordinated vulnerability disclosure and product security response by validating reported issues and helping define sustainable corrective actions.Establish and coach a network of security champions; deliver practical training and improve developer self-service capabilities.Track application security coverage, recurring weakness patterns, remediation performance, and effectiveness of preventive controls.Collaborate with cybersecurity, application security, architecture, DevSecOps, product teams, and enterprise security functions.

Required Qualifications

Bachelor's degree in Computer Science, Software Engineering, Cybersecurity, or a related field, or equivalent practical experience.Several years of hands-on experience in software engineering, application security, product security, or DevSecOps.Strong programming and scripting skills in at least one language commonly used in modern software development.Demonstrated experience with threat modeling, secure code review, and security testing of web applications and APIs.Practical knowledge of common vulnerability classes, including the OWASP Top 10, authentication and authorization flaws, injection, insecure design, and software supply chain risks.Experience integrating and tuning SAST, DAST, SCA, and secrets scanning tools within CI/CD pipelines.Understanding of cloud-native architectures, containers, identity, encryption, logging, and secure configuration.Ability to investigate findings, assess exploitability, and communicate technically precise remediation guidance.Strong collaboration and coaching skills, with the ability to influence engineering teams without direct authority.Strong written and verbal communication skills in English.High level of integrity, ownership, and commitment to protecting customers and software assets.Experience working with global teams.Ability to travel internationally when required for key workshops, assessments, or team collaboration.Ability to collaborate effectively across global time zones with teams distributed across multiple continents.

Preferred Qualifications

Experience securing AWS-based, SaaS, microservices, mobile, or desktop applications.Knowledge of NIST Secure Software Development Framework, secure-by-design principles, and risk-driven software assurance using OWASP ASVS and SAMM.Experience applying OWASP ASVS at a risk-appropriate assurance level rather than treating every control as universally mandatory.Experience with tools such as Burp Suite, OWASP ZAP, Semgrep, SonarQube, Snyk, Checkmarx, GitHub Advanced Security, or equivalent.Knowledge of API security, OAuth 2.0, OpenID Connect, JWT, secrets management, and software bill of materials practices.Experience applying security to AI-enabled applications and modern software supply chains.Relevant certifications such as CSSLP, GIAC GWEB/GWAPT, OSWE, or equivalent.Familiarity with engineering or technical software environments is advantageous.

GCS is acting as an Employment Agency in relation to this vacancy.

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Senior Data Engineer
Location: Abu Dhabi, UAE - Remote Global
Type: Contract

Role Summary

We are seeking a Senior Data Engineer to architect and build the foundational data infrastructure for
a large-scale AI transformation programme. You will move beyond standard ETL tasks to design and
deploy enterprise-grade Data Lakehouses that serve as the "Single Source of Truth" for AI agents and
advanced analytics platforms.
You will lead the technical execution of data and platform foundation initiatives. Your mandate is to
map rigid enterprise systems (e.g., SAP S/4HANA, Ariba, etc.) and collaborate with teams to
understand complex unstructured data (technical drawings, regulatory text) while building high
performance pipelines and systems that power Intelligent Supply Chain forecasting and generative AI
tools.
You will operate within a structured "Sprint Zero" environment, ensuring data lineage, governance,
and security meet strict enterprise standards.

Key Responsibilities

1. Data Lakehouse Architecture (Supply Chain)
* ERP Integration: Architect and deploy ingestion pipelines to extract high-volume
transactional data from SAP S/4HANA, Ariba, and PLM systems, ensuring near real-time
availability for forecasting models.
* External Feed Integration: Build connectors for external market intelligence feeds (e.g., S&P
Global, Orbis, EcoVadis) to enrich internal procurement data with macroeconomic and
geopolitical signals.
* Unified Data Model: Design and implement a standardized procurement data model and
taxonomy across multiple entities, harmonizing fragmented datasets into a cohesive layer for
analytics.

2. Unstructured Data Pipelines
* Complex Ingestion: Engineer pipelines to ingest and process unstructured technical data,
including PDF tender documents, CAD metadata, and historical CONOPS, transforming them
into vector-ready formats for RAG (Retrieval-Augmented Generation) applications.
* Vector Database Management: Manage and optimize Vector Databases (e.g., Weaviate) to
store embeddings of archival proposals and engineering snippets, ensuring high-speed
retrieval for AI drafting assistants.
* Digital Thread Implementation: Establish data lineage and traceability protocols that link
requirements to physical components, supporting Model-Based Systems Engineering (MBSE)
Digital Thread initiatives.

3. Governance & Security
* Enterprise-Grade Security: Implement Role-Based Access Control (RBAC), audit logging,
and data redaction policies to ensure compliance with export controls and strict on-premise
security requirements.
* Quality Control: Deploy automated data quality frameworks to validate BOM (Bill of
Materials) completeness and cost data accuracy before it reaches AI models.
* Infrastructure Optimization: Optimize pipelines for on-premise GPU clusters and air-gapped
environments, ensuring efficiency within existing infrastructure limits.

Technical Requirements

* Core Stack: Expert proficiency in Python, SQL, and modern data engineering frameworks
(Apache Spark, Kafka, Airflow).
* Enterprise ERP: Strong experience extracting data from complex ERP environments,
specifically SAP S/4HANA and SAP Ariba. Familiarity with SAP BTP is a plus.
* Database Technologies: Deep understanding of Data Lakehouse architectures
(Databricks/Delta Lake), Relational Databases (PostgreSQL), and Vector Databases
(Weaviate/Milvus).
* Data Pipeline Development: Experience building pipelines for RAG solutions, conversational
agents, and classical ML models using tools such as dbt, Dagster, or Prefect.
* DevOps/DataOps: Proficiency with containerization (Docker, Kubernetes) and CI/CD
pipelines for deploying data workflows in secure environments.

Professional Qualifications

* Experience: 5+ years of experience in Data Engineering, with at least 2 years focused on
building pipelines for Machine Learning or Generative AI applications in an enterprise setting.
* Domain Knowledge: Experience in Supply Chain, Manufacturing, or Defence sectors is
highly desirable. Ability to understand Bill of Materials (BOM) structures and procurement
lifecycles.
* Problem Solving: Ability to navigate the "Governance Collision" between agile data work and
rigid systems engineering requirements, ensuring data deliverables meet formal Stage Gate
reviews.
* Collaboration: Proven ability to work alongside Data Scientists and Backend Engineers to
define data schemas that support predictive modelling and AI agents.

Why This Role?

You will be the architect of the data foundation behind advanced AI capabilities. Your work will directly
enable AI agents to support procurement workflows, forecasting, analytics, and engineering decision
making. If you are ready to build the robust infrastructure that turns raw data into strategic advantage,
this role is for you.

GCS is acting as an Employment Business in relation to this vacancy.

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Cloud Security Engineer

Location: Dublin City Centre

12 Month Contract

An established organisation undergoing significant technology modernisation is seeking an experienced Cloud Security Engineer. This role is ideal for an engineer with extensive Microsoft cloud security expertise, strong cybersecurity awareness, and experience operating within ITIL-aligned environments.

Key Responsibilities

The successful candidate will have experience across cloud infrastructure, cybersecurity, and enterprise IT operations, including:

Configuration and administration of Microsoft Entra ID (Azure AD), including Conditional Access, Identity Governance and Multi-Factor Authentication.Implementation and management of Privileged Identity Management (PIM) and Role-Based Access Control (RBAC).Deployment and administration of Microsoft Intune for endpoint management, compliance, application deployment and device configuration.Administration of Microsoft Defender security solutions including Defender for Endpoint and Defender for Office 365.Securing Azure environments through best-practice implementation of network security, firewalls, encryption and access controls.

Key Duties

Provide third-line support across infrastructure, cloud and security environments.Collaborate with specialist technology teams to deliver projects and operational improvements.Follow established Incident Management processes and procedures.Develop and maintain knowledge base articles, runbooks and standard operating procedures.Contribute to organisational policies and governance processes relating to Data Protection and Information Security.Ensure support tickets are resolved within agreed service levels and KPIs.

Desired Qualifications

Candidates should hold at least one of the following:

Microsoft Certified: Azure Security Engineer Associate (AZ-500)Microsoft Certified: Security Operations Analyst Associate (SC-200)Microsoft Certified: Identity and Access Administrator Associate (SC-300)Microsoft Certified: Endpoint Administrator Associate (MD-102)

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Role- Senior Security Automation Engineer
Type- Contract
Duration- 12+ months
Location- Mt. Laurel, NJ

Overview

Seeking a Senior Security Automation Engineer to build AI-driven security automation solutions within a Cyber Security Operations Center (CSOC). This is a hands-on engineering role focused on developing intelligent agents and automated workflows that improve threat detection, investigations, and incident response.

Key Responsibilities

Design, develop, deploy, and maintain production-grade security automation and AI-powered workflows.Build AI agents capable of accessing security data, using tools, maintaining context, and executing multi-step tasks.Automate processes across:Threat IntelligenceThreat HuntingDetection EngineeringSecurity InvestigationsIncident ResponseSecurity Data AnalysisApply advanced AI techniques including:Tool CallingRetrieval-Augmented Generation (RAG)Structured GenerationPlanning & ReflectionVerificationModel RoutingMulti-Agent CoordinationDesign memory, context management, task recovery, escalation, and human approval mechanisms.Reduce false positives and operational noise while improving response speed and consistency.Develop security controls and guardrails for AI systems.Create testing and evaluation frameworks to measure AI accuracy, reliability, security, and performance.Collaborate with security and engineering teams to translate operational challenges into scalable automation solutions.Take solutions from prototype to production and continuously optimize them.

Required Qualifications

Bachelor's degree in Computer Science, Cybersecurity, Engineering, Information Systems, or related field (or equivalent experience).8+ years of experience in software engineering, security engineering, automation, AI/ML, or related technical roles.Strong hands-on software development experience.Experience building production-grade automation or AI-powered applications.Experience with LLMs, Generative AI, or Agentic AI technologies.Strong programming skills, particularly in Python or other modern languages.Experience integrating APIs, tools, data sources, and external systems.Understanding of AI agent concepts including tool use, retrieval, planning, memory, context management, and verification.Strong analytical, problem-solving, and scalable system design skills.

Preferred Qualifications

Experience building agentic AI systems or autonomous security workflows.Experience with SOAR, SIEM, security automation, threat intelligence, threat hunting, detection engineering, or incident response.Knowledge of RAG, vector databases, embeddings, semantic search, and knowledge retrieval.Experience with multi-agent architectures, AI orchestration frameworks, and AI evaluation/testing frameworks.Familiarity with Kubernetes, cloud platforms, microservices, APIs, and distributed systems.Experience implementing human-in-the-loop controls and approval workflows.Proven ability to take AI solutions from proof of concept (POC) to production deployment.Understanding of enterprise AI security controls and best practices.

GCS is acting as an Employment Business in relation to this vacancy.

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This position is ideal for an engineer who enjoys solving complex problems and building new capabilities from the ground up. The role goes beyond traditional security scripting, SOAR configuration, or test automation. You will help develop intelligent systems that can augment and automate the work performed by threat intelligence, threat hunting, detection engineering, investigation, and incident response teams.

Key ResponsibilitiesDesign, develop, test, deploy, and operate production-grade security automation and AI-driven workflows.Build intelligent agents capable of securely accessing security data, invoking approved tools, maintaining context, and executing multi-step workflows.Develop automation that can assist with:Threat intelligenceThreat huntingDetection engineeringSecurity investigationsIncident responseSecurity data analysisApply modern AI and automation techniques, including:Tool callingRetrieval-augmented generation (RAG)Structured generationPlanningReflectionVerificationModel routingMulti-agent coordinationDesign mechanisms for memory, context management, task recovery, escalation, and human approval.Build automation designed to reduce operational noise and false positives while improving the speed and consistency of security response.Develop appropriate security controls and guardrails around AI agents and automated workflows.Create evaluation and testing strategies to measure the accuracy, reliability, security, and performance of automation.Evaluate emerging AI models, agent frameworks, automation platforms, and orchestration technologies.Prototype new capabilities and transition successful solutions into reliable production environments.Work closely with threat intelligence analysts, threat hunters, detection engineers, incident responders, and security-data engineers to understand operational challenges.Translate security requirements and operational processes into scalable technical solutions.Develop clean, maintainable, scalable, and well-documented code.Troubleshoot, monitor, and continuously improve automation running in production.Participate in architecture, design, code reviews, and technical decision-making.Identify opportunities to automate repetitive or time-sensitive security processes and improve overall SOC efficiency.Required QualificationsBachelor's degree in Computer Science, Engineering, Cybersecurity, Information Systems, or a related field, or equivalent professional experience.8+ years of experience in software engineering, security engineering, automation engineering, AI/ML engineering, or a related technical field.Strong hands-on software development experience.Experience building automation solutions or AI-powered applications for production environments.Experience working with Large Language Models (LLMs), generative AI, or agentic AI technologies.Strong programming skills in Python and/or another modern programming language.Experience integrating applications with APIs, tools, data sources, and external systems.Understanding of AI agent concepts such as tool use, planning, context management, retrieval, memory, and verification.Experience designing and implementing reliable, scalable technical solutions.Strong analytical and problem-solving skills.Ability to work with both software engineers and security professionals to translate operational challenges into technical solutions.Preferred QualificationsExperience building agentic AI systems or autonomous security workflows.Experience with security automation, SOAR, SIEM, or security orchestration platforms.Experience with cybersecurity operations, threat intelligence, threat hunting, detection engineering, or incident response.Experience with RAG, vector databases, embeddings, semantic search, or knowledge retrieval.Experience with multi-agent architectures and AI orchestration frameworks.Experience developing AI evaluation frameworks, testing harnesses, or benchmarking processes.Experience with Kubernetes, cloud platforms, microservices, APIs, and distributed systems.Experience implementing human-in-the-loop controls and approval workflows.Experience taking AI/automation solutions from proof of concept through production deployment.Familiarity with security controls and best practices for deploying AI systems in enterprise environments.What We're Looking For

We're looking for a builder who can take an ambiguous security problem and turn it into a working, scalable automation solution.

The ideal candidate is comfortable getting hands-on with code, experimenting with emerging AI technologies, integrating multiple systems, and figuring out how to move an idea from prototype to production.

You don't necessarily need to come from a cybersecurity background. Strong AI, software engineering, and automation experience is the priority. You'll have the opportunity to work alongside experienced security professionals who can provide the domain expertise.

The Opportunity

Comcast's Cyber Security Operations Center is working toward a machine-speed SOC capable of responding quickly and effectively to large-scale and concurrent security incidents.

As a Senior Security Automation Engineer, you'll help build the intelligent automation that makes that possible-reducing manual work, cutting through noise and false positives, and giving security teams the ability to focus their expertise where it matters most.

GCS is acting as an Employment Business in relation to this vacancy.

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Key ResponsibilitiesDesign, develop, test, deploy, and operate production-grade security automation and AI-driven workflows.Build intelligent agents capable of securely accessing security data, invoking approved tools, maintaining context, and executing multi-step workflows.Develop automation that can assist with:Threat intelligenceThreat huntingDetection engineeringSecurity investigationsIncident responseSecurity data analysisApply modern AI and automation techniques, including:Tool callingRetrieval-augmented generation (RAG)Structured generationPlanningReflectionVerificationModel routingMulti-agent coordinationDesign mechanisms for memory, context management, task recovery, escalation, and human approval.Build automation designed to reduce operational noise and false positives while improving the speed and consistency of security response.Develop appropriate security controls and guardrails around AI agents and automated workflows.Create evaluation and testing strategies to measure the accuracy, reliability, security, and performance of automation.Evaluate emerging AI models, agent frameworks, automation platforms, and orchestration technologies.Prototype new capabilities and transition successful solutions into reliable production environments.Work closely with threat intelligence analysts, threat hunters, detection engineers, incident responders, and security-data engineers to understand operational challenges.Translate security requirements and operational processes into scalable technical solutions.Develop clean, maintainable, scalable, and well-documented code.Troubleshoot, monitor, and continuously improve automation running in production.Participate in architecture, design, code reviews, and technical decision-making.Identify opportunities to automate repetitive or time-sensitive security processes and improve overall SOC efficiency.Required QualificationsBachelor's degree in Computer Science, Engineering, Cybersecurity, Information Systems, or a related field, or equivalent professional experience.8+ years of experience in software engineering, security engineering, automation engineering, AI/ML engineering, or a related technical field.Strong hands-on software development experience.Experience building automation solutions or AI-powered applications for production environments.Experience working with Large Language Models (LLMs), generative AI, or agentic AI technologies.Strong programming skills in Python and/or another modern programming language.Experience integrating applications with APIs, tools, data sources, and external systems.Understanding of AI agent concepts such as tool use, planning, context management, retrieval, memory, and verification.Experience designing and implementing reliable, scalable technical solutions.Strong analytical and problem-solving skills.Ability to work with both software engineers and security professionals to translate operational challenges into technical solutions.Preferred QualificationsExperience building agentic AI systems or autonomous security workflows.Experience with security automation, SOAR, SIEM, or security orchestration platforms.Experience with cybersecurity operations, threat intelligence, threat hunting, detection engineering, or incident response.Experience with RAG, vector databases, embeddings, semantic search, or knowledge retrieval.Experience with multi-agent architectures and AI orchestration frameworks.Experience developing AI evaluation frameworks, testing harnesses, or benchmarking processes.Experience with Kubernetes, cloud platforms, microservices, APIs, and distributed systems.Experience implementing human-in-the-loop controls and approval workflows.Experience taking AI/automation solutions from proof of concept through production deployment.Familiarity with security controls and best practices for deploying AI systems in enterprise environments.

GCS is acting as an Employment Business in relation to this vacancy.

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Key ResponsibilitiesDesign, develop, test, deploy, and operate production-grade security automation and AI-driven workflows.Build intelligent agents capable of securely accessing security data, invoking approved tools, maintaining context, and executing multi-step workflows.Develop automation that can assist with:Threat intelligenceThreat huntingDetection engineeringSecurity investigationsIncident responseSecurity data analysisApply modern AI and automation techniques, including:Tool callingRetrieval-augmented generation (RAG)Structured generationPlanningReflectionVerificationModel routingMulti-agent coordinationDesign mechanisms for memory, context management, task recovery, escalation, and human approval.Build automation designed to reduce operational noise and false positives while improving the speed and consistency of security response.Develop appropriate security controls and guardrails around AI agents and automated workflows.Create evaluation and testing strategies to measure the accuracy, reliability, security, and performance of automation.Evaluate emerging AI models, agent frameworks, automation platforms, and orchestration technologies.Prototype new capabilities and transition successful solutions into reliable production environments.Work closely with threat intelligence analysts, threat hunters, detection engineers, incident responders, and security-data engineers to understand operational challenges.Translate security requirements and operational processes into scalable technical solutions.Develop clean, maintainable, scalable, and well-documented code.Troubleshoot, monitor, and continuously improve automation running in production.Participate in architecture, design, code reviews, and technical decision-making.Identify opportunities to automate repetitive or time-sensitive security processes and improve overall SOC efficiency.Required QualificationsBachelor's degree in Computer Science, Engineering, Cybersecurity, Information Systems, or a related field, or equivalent professional experience.8+ years of experience in software engineering, security engineering, automation engineering, AI/ML engineering, or a related technical field.Strong hands-on software development experience.Experience building automation solutions or AI-powered applications for production environments.Experience working with Large Language Models (LLMs), generative AI, or agentic AI technologies.Strong programming skills in Python and/or another modern programming language.Experience integrating applications with APIs, tools, data sources, and external systems.Understanding of AI agent concepts such as tool use, planning, context management, retrieval, memory, and verification.Experience designing and implementing reliable, scalable technical solutions.Strong analytical and problem-solving skills.Ability to work with both software engineers and security professionals to translate operational challenges into technical solutions.Preferred QualificationsExperience building agentic AI systems or autonomous security workflows.Experience with security automation, SOAR, SIEM, or security orchestration platforms.Experience with cybersecurity operations, threat intelligence, threat hunting, detection engineering, or incident response.Experience with RAG, vector databases, embeddings, semantic search, or knowledge retrieval.Experience with multi-agent architectures and AI orchestration frameworks.Experience developing AI evaluation frameworks, testing harnesses, or benchmarking processes.Experience with Kubernetes, cloud platforms, microservices, APIs, and distributed systems.Experience implementing human-in-the-loop controls and approval workflows.Experience taking AI/automation solutions from proof of concept through production deployment.Familiarity with security controls and best practices for deploying AI systems in enterprise environments.

GCS is acting as an Employment Business in relation to this vacancy.

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Key ResponsibilitiesDesign, develop, test, deploy, and operate production-grade security automation and AI-driven workflows.Build intelligent agents capable of securely accessing security data, invoking approved tools, maintaining context, and executing multi-step workflows.Develop automation that can assist with:Threat intelligenceThreat huntingDetection engineeringSecurity investigationsIncident responseSecurity data analysisApply modern AI and automation techniques, including:Tool callingRetrieval-augmented generation (RAG)Structured generationPlanningReflectionVerificationModel routingMulti-agent coordinationDesign mechanisms for memory, context management, task recovery, escalation, and human approval.Build automation designed to reduce operational noise and false positives while improving the speed and consistency of security response.Develop appropriate security controls and guardrails around AI agents and automated workflows.Create evaluation and testing strategies to measure the accuracy, reliability, security, and performance of automation.Evaluate emerging AI models, agent frameworks, automation platforms, and orchestration technologies.Prototype new capabilities and transition successful solutions into reliable production environments.Work closely with threat intelligence analysts, threat hunters, detection engineers, incident responders, and security-data engineers to understand operational challenges.Translate security requirements and operational processes into scalable technical solutions.Develop clean, maintainable, scalable, and well-documented code.Troubleshoot, monitor, and continuously improve automation running in production.Participate in architecture, design, code reviews, and technical decision-making.Identify opportunities to automate repetitive or time-sensitive security processes and improve overall SOC efficiency.Required QualificationsBachelor's degree in Computer Science, Engineering, Cybersecurity, Information Systems, or a related field, or equivalent professional experience.8+ years of experience in software engineering, security engineering, automation engineering, AI/ML engineering, or a related technical field.Strong hands-on software development experience.Experience building automation solutions or AI-powered applications for production environments.Experience working with Large Language Models (LLMs), generative AI, or agentic AI technologies.Strong programming skills in Python and/or another modern programming language.Experience integrating applications with APIs, tools, data sources, and external systems.Understanding of AI agent concepts such as tool use, planning, context management, retrieval, memory, and verification.Experience designing and implementing reliable, scalable technical solutions.Strong analytical and problem-solving skills.Ability to work with both software engineers and security professionals to translate operational challenges into technical solutions.Preferred QualificationsExperience building agentic AI systems or autonomous security workflows.Experience with security automation, SOAR, SIEM, or security orchestration platforms.Experience with cybersecurity operations, threat intelligence, threat hunting, detection engineering, or incident response.Experience with RAG, vector databases, embeddings, semantic search, or knowledge retrieval.Experience with multi-agent architectures and AI orchestration frameworks.Experience developing AI evaluation frameworks, testing harnesses, or benchmarking processes.Experience with Kubernetes, cloud platforms, microservices, APIs, and distributed systems.Experience implementing human-in-the-loop controls and approval workflows.Experience taking AI/automation solutions from proof of concept through production deployment.Familiarity with security controls and best practices for deploying AI systems in enterprise environments.

GCS is acting as an Employment Business in relation to this vacancy.

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