Senior AI Engineer

Robson Bale; Greater London; On-site; GBP 55,000 - 75,000; Part time

Job summary

Robson Bale is seeking a part-time on-site Gen AI architect in central London. You will implement and optimize agentic AI solutions, design scalable deployments with cloud teams, and mentor colleagues across multi-entity finance environments.

The role emphasizes hands-on development, testing, and ongoing model improvement, with strong focus on secure architecture and RAG pipelines.

Qualifications

• Hands-on Gen AI development and solutioning experience.
• Experience architecting Gen AI solutions across multi-entity, multi-regional environments.

Responsibilities

• Hands on implementation of Gen AI solutions based on approved designs.
• Develop, fine-tune, and optimize Gen AI/Agentic solutions for production use.
• Collaborate with architects, cloud teams and stakeholders to ensure secure, scalable deployments.
• Conduct unit and integration testing and troubleshoot issues.
• Maintain documentation of code, processes and configurations.
• Monitor model performance post-deployment and iterate.
• Collaborate with Cloud team to enable secure, maintainable Gen AI solutions.
• Develop prompt engineering strategies and RAG pipelines.
• Monitor AI landscape and advise on client applicability.
• Guide development teams through solution implementation and deployment.
• Mentor other team members.

Skills

Agentic AI development

POC solutioning

CI / CD & MLOps

Model development & fine tuning

Prompt engineering & RAG

Azure LLM deployment patterns

GitHub Copilot usage

Tools

Azure App Service

Azure Functions

Logic Apps

GitHub Copilot

Job description

3 days per week on site in central London

KEY RESPONSIBILITIES

• Hands on Implementation Gen AI solutions based on approved designs and architecture
• Develop, fine-tune, and optimize Gen AI and Agentic solutions for production use.
• Collaborate with architects, cloud teams, and business stakeholders to ensure secure and scalable deployments.
• Conduct unit and integration testing, troubleshoot issues, and ensure smooth deployment.
• Maintain accurate documentation of code, processes, and configurations.
• Monitor and improve model performance post-deployment.
• Collaborate with Cloud team in enabling secure and maintainable Gen AI solutions aligned with enterprise architecture standards
• Develop prompt engineering strategies and retrieval-augmented generation (RAG) pipelines.
• Monitor ever changing AI landscape and their application to client
• Guide development teams through solution implementation, testing, and deployment.
• Guide and mentor other team members

WORK EXPERIENCE

• Experience providing architectural solutions in a multi-entity, multi-regional financial services organisation
• Experience of working with senior stakeholders across business and technology functions
• Experience of architecting Gen AI solutions (Microsoft Azure, AWS, OCI etc)

SKILLS AND EXPERIENCE

Functional / Technical Competencies

• Hands on Agentic AI development and solutioning exp
• POC solutioning, development and optimisation
• CI / CD & MLOps for AI
• Model development and fine tuning
• Deep expertise in Prompt Engineering and RAG solutions
• Exp with Azure Cloud services related to LLM deployments such as App Service, Azure Functions, Logic Apps
• Expertise in LLM integration patterns such as MCP, A2A
• Experience in architecting solutions combining On Premises systems and Cloud systems in a regulated environment
• Experience with GitHub Copilot or similar tools used in AI-assisted development