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AI Architect
Added 28/10/2026
Reference: SM281016_1793192116

AI Architect - Enterprise GenAI Platform (Azure)📍 UK-Based | Hybrid Working ⏳ Contract Opportunity | Immediate Start PreferredThe... Read more

AI Architect - Enterprise GenAI Platform (Azure)

📍 UK-Based | Hybrid Working
⏳ Contract Opportunity | Immediate Start Preferred

The Opportunity

We are partnering with a major UK energy-sector organisation undertaking a large-scale Enterprise AI transformation programme and are looking for an experienced AI Architect to shape and lead the architecture of their production AI platform.

This is a high-impact role where you will act as the technical authority for a rapidly evolving AI ecosystem, defining enterprise standards, governance, integration patterns, and the path to production for AI and agentic solutions across the organisation.

You'll work closely with senior stakeholders, architects, security teams, product owners, and engineering teams to establish a scalable, secure, and governed AI platform that supports enterprise-wide adoption.

What You'll Be DoingOwn and evolve the architecture for a production-grade Azure AI platform.Define standards and governance for enterprise AI, GenAI, RAG, and Agentic AI solutions.Design and implement enterprise integration patterns across HR, Service Management, and other core business systems.Lead architecture decisions around Azure OpenAI, Azure AI Foundry, Azure AI Search, APIM, Entra ID, and AI orchestration services.Establish the path-to-production framework for AI agents, including evaluation, security, observability, deployment, and cost management.Create reusable reference architectures, patterns, and guardrails for wider teams.Review AI solution designs and provide technical leadership across multiple workstreams.Advise senior stakeholders up to CIO level on architectural strategy, platform selection, and build-versus-buy decisions.Drive secure, compliant AI adoption within a regulated enterprise environment.Essential ExperienceProven experience as an AI Architect, Enterprise Architect, Solution Architect, or Lead AI Engineer.Strong hands-on architecture experience within Microsoft Azure.Expertise with:Azure OpenAIAzure AI FoundryAzure AI SearchAzure API Management (APIM)Entra IDAzure Landing ZonesExperience delivering production-grade Generative AI solutions, not just proofs of concept.Strong knowledge of:RAG architecturesAgentic AI systemsMulti-agent orchestrationModel Context Protocol (MCP)LLM governance and evaluation frameworksEnterprise integration experience covering:APIsEvent-driven architectureIdentity propagationSaaS platform integrationsStrong understanding of security, compliance, data classification, auditing, and data residency requirements.Ability to communicate architecture decisions clearly to both technical and executive stakeholders.Desirable ExperienceEnergy, utilities, public sector, or other highly regulated environments.Workday and/or ServiceNow integrations.Semantic Kernel, LangGraph, or Foundry Agent Service.Azure Monitor, Application Insights, Langfuse, or Arize.Secure AI deployment patterns including private networking and customer-managed encryption.Azure Solutions Architect Expert and/or Azure AI Engineer certifications.Consultancy or client-facing delivery experience.

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

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£500.00 - £600.00
Per day

London, England, United KingdomContract

Solution Architect - Azure / Microsoft 365 / AI & Automation
Added 26/10/2026
Reference: 7786433_1793019656

Solution Architect - Azure / Microsoft 365 / AI & AutomationContract: 6 months Location: London - 4 days... Read more

Solution Architect - Azure / Microsoft 365 / AI & Automation

Contract: 6 months
Location: London - 4 days onsite per week

£600-£650 inside IR35

We are looking for an experienced Solution Architect to take ownership of end-to-end solution design across a complex Microsoft technology environment.

The successful candidate will play a key role in developing the Enterprise Architecture framework, while defining architecture across Azure, Microsoft 365, AI, automation, infrastructure and security.

You will also provide architectural governance across projects, ensuring solutions align with agreed technology standards, security requirements and strategic direction.

Key responsibilities:

Own end-to-end solution design from requirements through to implementationProduce high-level and detailed solution architectureHelp develop and mature the Enterprise Architecture frameworkDefine architecture standards, principles, patterns and roadmapsDesign AI and automation architecture and associated governance frameworksProvide architectural governance and assurance across technology projectsLead architecture/design reviews and challenge technical solutionsDesign solutions across Azure cloud and hybrid infrastructureDefine Azure Landing Zone, networking, identity, security and governance architecturesProvide architecture across Microsoft 365, SharePoint, Entra ID and IntuneProvide architectural direction around Infrastructure as Code and DevOpsWork closely with engineering, security and business teams to ensure successful delivery

Key technology experience:

Microsoft AzureAzure Landing ZonesMicrosoft 365Entra ID / Azure ADAzure networkingAzure AI / Azure OpenAIMicrosoft Copilot / Power PlatformAI & AutomationTerraformGitHub ActionsMicrosoft PurviewIntuneWindows Server / Active DirectoryHyper-VCisco networking

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

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£600.00 - £650.00
Per day

London, England, United KingdomContract

AI Solution Architect
Added 28/07/2026
Reference: 9892_1785257320

Key ResponsibilitiesDesign, develop, and deploy AI orchestration solutions for Generative AI applications.Build AI workflows integrating Snowflake, ML models,... Read more

Key ResponsibilitiesDesign, develop, and deploy AI orchestration solutions for Generative AI applications.Build AI workflows integrating Snowflake, ML models, LLMs, and unstructured data (RAG).Develop agentic AI solutions using frameworks such as LangChain, LangGraph, Semantic Kernel, or AutoGen.Implement AI best practices including Responsible AI, guardrails, monitoring, and governance.Collaborate with cross-functional teams to deliver scalable AI solutions on Azure.Provide technical leadership, mentorship, and architectural guidance.Must-Have Skills8+ years of Software Engineering, AI, or Machine Learning experience.2+ years in a Technical Lead or Engineering Lead role.Strong experience with Azure OpenAI, Azure ML, Azure Functions, AKS, and Azure services.Experience with Generative AI, LLMs, AI Orchestration, Agentic AI, and RAG.Hands-on experience with LangChain, LangGraph, Semantic Kernel, AutoGen, or similar frameworks.Experience with Snowflake, including Semantic Views and Cortex Analyst.Strong Python programming skills with API and Microservices developmentSolid understanding of MLOps/LLMOps, AI governance, and production AI deployments.Excellent communication and stakeholder management skills.

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

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Negotiable

United States of AmericaContractRemote

GenAI Architect
Added 28/07/2026
Reference: 9892_1785257478

Key ResponsibilitiesDesign, develop, and deploy AI orchestration solutions for Generative AI applications.Build AI workflows integrating Snowflake, ML models,... Read more

Key ResponsibilitiesDesign, develop, and deploy AI orchestration solutions for Generative AI applications.Build AI workflows integrating Snowflake, ML models, LLMs, and unstructured data (RAG).Develop agentic AI solutions using frameworks such as LangChain, LangGraph, Semantic Kernel, or AutoGen.Implement AI best practices including Responsible AI, guardrails, monitoring, and governance.Collaborate with cross-functional teams to deliver scalable AI solutions on Azure.Provide technical leadership, mentorship, and architectural guidance.Must-Have Skills8+ years of Software Engineering, AI, or Machine Learning experience.2+ years in a Technical Lead or Engineering Lead role.Strong experience with Azure OpenAI, Azure ML, Azure Functions, AKS, and Azure services.Experience with Generative AI, LLMs, AI Orchestration, Agentic AI, and RAG.Hands-on experience with LangChain, LangGraph, Semantic Kernel, AutoGen, or similar frameworks.Experience with Snowflake, including Semantic Views and Cortex Analyst.Strong Python programming skills with API and Microservices developmentSolid understanding of MLOps/LLMOps, AI governance, and production AI deployments.Excellent communication and stakeholder management skills.

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

Read less
Negotiable

United States of AmericaContractRemote

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