Job Search

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

Senior Engineering Manager (Chapter Lead) - AI Products Freelance engagement · Ghent, Belgium Location: Ghent, Belgium (three office days per week; visits to any of the group's offices count as office days). Regular time in the Netherlands. Engagement: Freelance, long-term Reports to: Head of Product & AI Rate: Competitive - to be discussed About the client Our client is an accountancy and advisory group operating across multiple countries in Western Europe, with several thousand colleagues. Firms that join the group keep their own name, their people and their client relationships. What the group adds is scale: shared platforms, shared data and shared AI products. The role The group builds AI products for accounting work - agents that prepare and review the work, and the surfaces accountants and their clients use them in. The products are built in squads, each run by a Product Manager. You build the engineering team and are the line manager of every engineer in those squads. Internally the role is called Chapter Lead Engineering. Most of today's engineering is done by specialist partners. You lead the transition to an internal team, squad by squad, and decide when each one is ready. You start with the first hires and build a chapter of ten to fifteen engineers across Belgium and the Netherlands by the end of 2027. You are the engineers' hierarchical manager: hiring, development and performance. You do not lead their day-to-day work. That happens inside the squad, where the Product Manager sets the priorities, because nobody can run the daily work of nine squads. Architecture is owned by the AI Architect; how the team engineers, reviews, tests and ships is yours. You are not a member of a squad and you carry no squad's delivery commitments, but you stay close to the code. This is a new position in a department that is still being built, so part of the way of working is yours to define. What you'll own The team. Recruitment, onboarding, staffing across the squads, and keeping the people you hired. The engineering career ladder and how the group hires against it, agreed with HR. The craft. Engineering standards, code review, testing and release practice, how agents are evaluated before they ship (with the analysts), how engineers use AI coding tools, and the quality of what ships. The dev stack. Code hosting and CI/CD, environments, developer tooling, licences and access. Everyone who builds at the group uses the same set, and you decide what is in it. How production is run. The on-call model, incident practice and run-and-maintain staffing for agents in production. The Product Manager decides what risk a product carries. You decide how the team responds when something breaks. The insourcing transitions. Which squad moves from partner to internal engineering next, what has to be true before it does, and the handover itself. The engineering organisation is yours: who gets hired, how the team builds, and when a squad is ready to run without a partner. What you need One thing matters more than the rest: you have led engineers who shipped AI products to production, and you stayed responsible for what happened after launch. Eight or more years in software engineering, three or more of them managing engineers Conversational Dutch or French, and fluent English A plus: You have built an engineering team from the first hires to ten or more You have led a transition from partner-built to in-house engineering This role suits you if You have hired engineers yourself and lived with the result You can read a pull request and tell whether the team is in trouble You would rather build a team than run one you inherited You can hold a standard across squads that all want an exception A function that is still taking shape appeals to you Confidential - client name available on discussion. For more information contact Kashif Mahmood, GCS · 07704 086 433 · [email protected]

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

You'll drive automation, CI/CD, Kubernetes, cloud infrastructure and developer tooling whilst introducing AI-powered capabilities across software delivery, testing, quality and operations.

Please send across an updated CV if this position is of interest

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

Dublin (Hybrid) | 12-Month Daily Rate Contract | Competitive Day Rate

We're working with a well-established enterprise organisation embarking on a significant Identity & Access Management transformation. They're looking for an experienced Senior IAM Engineer with deep expertise across the Microsoft identity stack, particularly Microsoft Entra ID, to play a key role in strengthening and modernising their identity security capabilities.

This is a hands-on engineering role where you'll design, implement and enhance secure identity solutions across a complex Microsoft environment.

Design, implement and support Microsoft Entra ID solutions across the organisation.

Lead the implementation and optimisation of Conditional Access policies and authentication controls.

Configure and manage Multi-Factor Authentication (MFA), Passwordless Authentication and Self-Service Password Reset (SSPR).

Drive Zero Trust identity initiatives and improve the organisation's overall security posture.

Manage identity lifecycle processes, including Joiner, Mover and Leaver workflows.

Integrate cloud and on-premises identities using Entra Connect and Cloud Sync.

Administer Privileged Identity Management (PIM) and privileged access controls.

Implement Identity Governance capabilities, including Access Reviews and Entitlement Management.

Support Microsoft Defender for Identity and identity threat detection initiatives.

Automate identity administration using PowerShell and Microsoft Graph API.

Collaborate with Cyber Security, Infrastructure and Cloud teams to deliver secure identity solutions.

Produce technical documentation and provide knowledge transfer where required.

5+ years' experience working within Identity & Access Management.

Strong hands-on experience with Microsoft Entra ID (Azure AD).

Proven experience implementing and managing Conditional Access policies.

Experience with Multi-Factor Authentication, Passwordless Authentication and modern identity security controls.

Hands-on experience with Privileged Identity Management (PIM).

Experience with Identity Governance, Access Reviews and Entitlement Management.

Knowledge of Hybrid Identity, Active Directory and Entra Connect.

Strong understanding of authentication protocols including SAML, OAuth 2.0 and OpenID Connect.

Experience implementing Zero Trust security principles.

Strong PowerShell scripting skills.

Excellent communication skills with the ability to engage technical and non-technical stakeholders.

Initial 12-month daily rate contract with strong extension potential.

Hybrid working arrangement.

Opportunity to work on a large-scale Microsoft Identity transformation programme.

Exposure to the latest Microsoft Identity and Security technologies.

Collaborative, highly skilled technical environment.

If this sounds like the right opportunity for you, we'd love to hear from you. Apply today or get in touch for a confidential discussion.

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

We're seeking a Senior AI Engineer to join a high-performing technology team delivering advanced AI solutions across a global platform. This role offers the opportunity to work on complex engineering challenges, leveraging machine learning, generative AI, and intelligent automation to build products used by millions worldwide.

You'll be at the forefront of designing and deploying AI-powered applications, collaborating with cross-functional teams to transform innovative ideas into scalable, production-ready solutions.

Key Responsibilities

Required Experience

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

AI Engineer

Full-time · Reports to Managing Director

ABOUT THE COMPANY

We are a well-established, fast-growing organisation with a strong commercial track record,
currently investing heavily in AI to drive the next phase of our growth. This is a rare opportunity to
join at a pivotal moment and build something meaningful from the ground up.

THE ROLE
This is a senior individual contributor and team leadership position sitting at the intersection of
engineering and applied AI. You will report directly to the Managing Director and lead a team of 6,
responsible for designing, building, and deploying AI-powered solutions that transform how the
business and its clients operate. You will be hands-on in the build while setting technical direction
for the team.

WHAT YOU'LL DO
* Architect and deliver agentic AI systems on GCP using Gemini models - from prototyping
through to production.
* Lead and develop a team of 6 engineers, setting technical standards, conducting code reviews,
and unblocking delivery.
* Partner with the MD and senior stakeholders to shape the AI product roadmap and translate
business priorities into engineering deliverables.
* Design and implement multi-agent workflows, RAG pipelines, and LLM-integrated tools that
serve internal teams and client-facing products.
* Own the AI infrastructure on GCP - Vertex AI, Cloud Run, BigQuery ML, and associated data
pipelines.
* Evaluate and integrate emerging tools, frameworks, and APIs - keeping the business at the
leading edge of applied AI.
* Champion responsible AI practices including model evaluation, bias testing, and governance
frameworks.

WHAT WE'RE LOOKING FOR
Required
* 5+ years in software or ML engineering
* Hands-on GCP experience (Vertex AI, Cloud
Run, GCS)
* Production-level work with Gemini or
comparable LLMs
* Agentic AI system design and deployment
* Python proficiency; LangChain, CrewAI or
similar
* Prior experience leading or mentoring a team
Nice to have
* Background in a fast-paced commercial or
agency environment
* Experience with Google Workspace APIs
* Familiarity with Looker, dbt or BigQuery
* Contributions to open-source AI projects
* GCP Professional certifications

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

Senior AI Engineering Leader - Enterprise GenAI Platforms

A global enterprise organisation is building out its next-generation AI engineering capability and is seeking a senior leader to drive the strategy, architecture, and delivery of enterprise-scale GenAI platforms and applications.
This role sits within a central engineering enablement function focused on accelerating software delivery, modernising engineering practices, and embedding AI capabilities across large-scale technology teams.
The position will lead multiple engineering teams responsible for delivering scalable, secure, and production-grade GenAI solutions in a highly regulated environment.

Key Responsibilities
* Define and lead the GenAI engineering roadmap and operating model
* Drive enterprise adoption of AI engineering standards and best practices
* Oversee development of LLM-powered applications and platforms
* Lead architecture and governance for RAG pipelines, agentic workflows, evaluation frameworks, and AI integration layers
* Ensure AI systems are scalable, observable, secure, and compliant
* Partner with Product, Security, Risk, Architecture, and Data teams to operationalise GenAI capabilities
* Lead organisational growth, hiring, team development, and engineering standards

Required Experience
* Proven leadership experience managing engineering organisations and technical strategy
* Strong experience deploying GenAI/LLM systems into production enterprise environments
* Expertise across AI engineering, distributed systems, APIs, microservices, and cloud-native architectures
* Strong understanding of AI governance, evaluation, monitoring, and controls
* Experience with modern engineering ecosystems including containers, DevSecOps, SQL/NoSQL databases, and event-driven systems
* Strong technical depth in languages such as Python, Go, or TypeScript

Ideal Background
Candidates are likely to come from applied AI engineering, AI platform engineering, ML infrastructure, or enterprise GenAI architecture environments rather than traditional pure data science or research backgrounds.

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