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Hi, I'm Maison
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Maison Sawyer
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Job Description
My client, a leader in Financial Services, are looking for an AI Engineer with hands-on implementation of Gen AI solutions required on a contract basis for 6 months plus extensions, with 2 days per week in London. Our client is looking at a pay rate of £650 - £700 per day inside IR35.
Role & Responsibilities
Working with business and technology stakeholders and contributing hands-on to the delivery of Gen AI-enabled application development across the EMEA region.
Key Responsibilities
Hands-on implementation of Gen AI solutions based on approved designs and architectural standards
Develop, fine-tune and optimise LLMs and Gen AI models for production use
Build, maintain and enhance prompt engineering strategies and retrieval-augmented generation (RAG) pipelines
Collaborate with architects, cloud teams and business stakeholders to ensure secure, scalable and robust deployments
Conduct unit and integration testing, troubleshoot issues and support smooth releases into production
Maintain accurate documentation for code, processes and configurations
Monitor, analyse and improve model performance post-deployment
Partner with Cloud teams to enable secure and maintainable Gen AI solutions aligned with enterprise architecture standards
Monitor the evolving AI landscape and identify relevant applications for the organisation
Guide development teams through solution implementation, testing and deployment
Provide guidance and mentorship to other team members
Required Skills
Experience delivering architectural or Gen AI solutions within a multi-entity, multi-regional financial services environment
Proven experience working with senior stakeholders across business and technology functions
Experience architecting and delivering Gen AI solutions across cloud platforms (Microsoft Azure, AWS, OCI, etc.)
Strong expertise in developing Gen AI solutions in Python using frameworks such as LangChain, LangGraph, Microsoft Agents SDK or similar
Experience with CI/CD pipelines and MLOps practices for AI solutions
Hands-on experience in model development and fine-tuning
Deep expertise in prompt engineering and RAG solution design
Performance monitoring and optimisation of AI models
Experience developing and deploying APIs using API Gateway
Familiarity with Azure cloud services for LLM deployments including App Service, Azure Functions and Logic Apps
Experience with Azure AI and data services including Azure OpenAI, Azure Cognitive Services, Azure AI Search, Azure Cosmos DB, Azure Data Lake, Microsoft Purview, Power Platform and Microsoft Graph
Expertise in LLM integration patterns such as MCP and A2A
Experience designing solutions integrating on-premise and cloud systems within regulated environments
Experience using GitHub Copilot or similar AI-assisted development tools
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About the Company
At Investigo Government Solutions (IGS), we partner with you to drive transformative changes and successful outcomes across complex projects, programmes and portfolios. We believe in creating lasting impacts through genuine partnership, innovation, and deep market expertise. Our approach is results-driven, and we focus on delivering tailored services that meet your unique needs.
IGS are a solutions-driven business working with public sector organisations in the UK, and our overseas territories, to understand the challenges ...
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