ShareForce
Senior Azure AI Engineer - Wealth Management
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Senior Azure AI Engineer
£80,000 - £90,000 + Bonus + Benefits Package | UK | Remote / Hybrid
Overview
We are hiring a Senior Azure AI Engineer to play a pivotal role in building our clients' production-grade agentic AI capability for regulated financial advice. This is a hands-on engineering position focused on designing, deploying, and scaling AI solutions that are secure, governed, and ready for real-world use.
Working at the intersection of Azure AI Foundry, cloud engineering, AI governance, and financial services, you will help define the engineering standards, architecture, and delivery patterns that underpin this significant transformation program. You'll collaborate with technical and business stakeholders to deliver AI solutions that are reliable, explainable, and fully aligned with financial services regulatory expectations.
Key Responsibilities
- Design, build, and deploy production-grade agentic AI solutions using Azure AI Foundry
- Develop reusable patterns for agent orchestration, retrieval, evaluation, observability, and governance
- Build AI-enabled solutions supporting regulated advice workflows, including fact-find automation, suitability reporting, and adviser review journeys
- Implement human-in-the-loop review processes to ensure AI outputs are auditable, explainable, and compliant
- Create evaluation frameworks covering testing, grounding, telemetry, monitoring, cost, latency, and performance
- Develop secure integrations across Azure AI Foundry, Dynamics 365, Dataverse, and third-party financial platforms
- Build APIs, agent logic, and data pipelines using Python and/or C#
- Develop user-facing components in React or Power Apps to support AI-assisted workflows
- Apply Azure best practices across security, identity, CI/CD, infrastructure, and cloud operations
- Embed governance, audit, versioning, and responsible AI controls throughout the solution lifecycle
- Produce technical documentation, architecture designs, and governance artefacts suitable for regulatory review
- Collaborate with engineering, data, transformation, compliance, and operational teams to deliver AI capabilities into production
- Provide technical leadership, helping define engineering standards and best practices for future AI delivery
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Skills & Experience
- Proven experience delivering AI-enabled or agentic solutions beyond proof of concept into production
- Hands-on expertise with Azure AI Foundry or equivalent enterprise AI platforms
- Strong Python and/or C# development skills
- Experience building APIs, cloud services, and enterprise data pipelines
- Knowledge of Azure AI Search, Retrieval-Augmented Generation (RAG), and enterprise knowledge integration
- Experience integrating AI with enterprise platforms such as Dynamics 365, Dataverse, Power Platform, or similar
- Strong understanding of Azure PaaS services including Azure Functions, Logic Apps, Event Grid, Storage, and Key Vault
- Experience with CI/CD, automated testing, monitoring, and cloud deployment practices
- Understanding of AI governance, explainability, auditability, and human-in-the-loop design
- Excellent communication skills with the ability to explain technical concepts to business stakeholders
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Desirable
- Experience within UK Financial Services or other regulated industries
- Knowledge of FCA regulations, Consumer Duty, and AI governance in regulated environments
- Experience with Microsoft Fabric, Azure Data Lake, or enterprise data platforms
- Exposure to speech-to-text and transcription pipelines
- Experience with Responsible AI frameworks, model evaluation, and AI assurance
- Infrastructure as Code, Azure networking, and DevSecOps experience
What This Role Offers
- Reporting directly to the CITO / Transformation Director
- Opportunity to build production-grade AI capability within a leading UK wealth management business
- Influence over architecture, engineering standards, and AI governance from the ground up
- Close collaboration with executive leadership, AI specialists, and cross-functional teams
- Flexible remote working with access to regional UK offices
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