Senior AI Engineer

Our client is a Financial Services organisation seeking an experienced AI Engineer to join their internal technology function. The role will focus on designing, building, and supporting enterprise-grade applications, APIs, AI-driven services, and digital platforms across Microsoft Azure and modern web technologies.

This is a hands-on engineering role suited to someone who is comfortable working across front-end and back-end development, cloud-native services, integrations, DevOps, and emerging Agentic AI solutions within a regulated environment.

The role is Hybrid and requires onsite attendance in Central London 2-3 days per week.

Technical Skills

• C#, ASP.NET Core, Entity Framework
• Python, FastAPI
• JavaScript, TypeScript
• React or Angular
• REST APIs, Swagger/OpenAPI
• SQL Server, PostgreSQL, NoSQL and vector databases
• Azure App Services, Azure Functions, API Management
• Docker, Kubernetes (AKS)
• Azure DevOps, Git repositories, CI/CD pipelines
• Power Platform exposure beneficial (Power Apps, Power Automate, Power BI)
• Authentication and security including OAuth2 and JWT
• Unit testing and automated testing frameworks
• Experience integrating AI and LLM services including OpenAI, Claude, Gemini, or Azure AI
• Experience building Agentic AI workflows, orchestration frameworks, AI copilots, or autonomous process automation solutions
• Knowledge of AI-driven APIs, semantic search, RAG architectures, and vector database integrations
• Azure certifications such as AZ-900, AZ-204, or AI-900 would be advantageous, * Design, develop, and maintain scalable full stack applications across cloud and web technologies
• Build responsive front-end applications using modern JavaScript frameworks such as React or Angular
• Develop secure and scalable back-end services, APIs, and integrations using .NET, Python, and Azure services
• Design and implement AI-powered solutions including Agentic AI workflows, copilots, and intelligent automation services
• Integrate Large Language Models (LLMs), AI APIs, and orchestration frameworks into enterprise applications and business processes
• Work closely with business stakeholders, analysts, and technical teams to gather requirements and translate them into technical solutions
• Deliver end-to-end technical solutions covering application development, automation, reporting, and data integration
• Support architecture design, technical documentation, and solution governance including HLDs and LLDs
• Implement CI/CD pipelines, automated testing, and deployment processes through Azure DevOps
• Ensure applications meet security, compliance, performance, and operational standards
• Troubleshoot production issues, manage incident resolution, and support continuous improvement initiatives
• Collaborate with infrastructure, data, and project delivery teams to ensure successful implementation of technical change
• Contribute to technical best practices, coding standards, and modern engineering approaches across the technology estate
• Follow ITIL-aligned processes for change, release, incident, and problem management

• Strong commercial experience as a Full Stack Developer or Full Stack Engineer within Financial Services, Investment Management, Banking, or other regulated environments
• Proven experience delivering modern cloud-native applications using Microsoft Azure
• Strong front-end development experience with React, Angular, JavaScript, and TypeScript
• Strong back-end development experience with ASP.NET Core, Python, REST APIs, and microservices architecture
• Experience building and integrating enterprise APIs and third-party services
• Experience working with both relational and non-relational databases
• Experience integrating AI and automation capabilities into enterprise applications
• Knowledge of DevOps principles including CI/CD, automated deployments, and infrastructure automation
• Experience working within Agile delivery environments
• Understanding of Agentic AI concepts, AI orchestration, and LLM-driven application design
• Strong communication and stakeholder management skills
• Ability to manage multiple workstreams and deliver in a fast-paced environment

Desirable Experience

• Experience within investment platforms or financial reporting systems
• Exposure to data engineering or analytics platforms
• Experience supporting production cloud environments
• Knowledge of event-driven or distributed architecture patterns
• Experience integrating low-code and pro-code solutions within enterprise platforms
• Exposure to AI governance, AI security, or responsible AI frameworks