Capita
Senior AI Engineer
United Kingdom
Posted about 21 hours ago
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About the Role
The Senior AI Engineer leads the design, build, and operationalisation of AI and intelligent automation solutions on Microsoft’s end-to-end stack. The role spans the full delivery spectrum — from rapid low-code solutions in Copilot Studio and Power Platform through to pro-code agents and models built on Azure AI Foundry — choosing the right approach for each problem and bringing solutions safely into production. As a senior member of the AI Digital Lab, the role also sets technical direction, raises engineering standards, and mentors others.
What You'll Be Doing
Solution Architecture & Build
- Lead the design and delivery of AI and intelligent automation solutions, deliberately balancing low-code (fast, citizen-extensible) and pro-code (flexible, scalable, deeply integrated) approaches based on requirements, risk, and total cost of ownership.
Copilot & Agents
- Build and extend conversational and agentic experiences using Microsoft 365 Copilot, Copilot Studio, custom engine agents, declarative agents, plugins, and connectors.
Power Platform
- Deliver intelligent automation and apps using Power Automate, Power Apps, Power Pages, and AI Builder; apply Application Lifecycle Management (solutions, environments, pipelines) and governance.
Pro-code AI on Azure
- Develop, fine-tune, ground, and deploy models and agents on Azure AI Foundry (model catalogue, prompt flow, evaluations, agent service), integrating Azure OpenAI, Azure AI Search (RAG), and related Azure services via SDKs and APIs.
Enterprise Agentic Delivery
- Own the end-to-end lifecycle of enterprise-grade agentic solutions, from design and build through deployment, change management, and driving user adoption at scale.
Integration & Data
- Design robust integrations across Dataverse, Microsoft Graph, APIs, and enterprise data sources; build the grounding and retrieval pipelines that make AI solutions accurate and trustworthy.
MLOps / LLMOps
- Establish CI/CD, evaluation, monitoring, and lifecycle management for AI workloads so solutions are reliable, observable, and continuously improved in production.
Responsible AI & Governance
- Embed security, data-privacy, fairness, and compliance standards across all solutions, in line with Capita and regulatory expectations; apply Power Platform and Azure governance/guardrails.
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Technical Leadership
- Set patterns and reusable assets for the Lab, conduct design and code reviews, mentor engineers, and advise stakeholders on technical feasibility and the low-code vs pro-code trade-off.
Skills and Capability Development
- Build capability across the AI Digital Lab by sharing engineering practices, reusable patterns, and practical guidance that help colleagues strengthen their AI, automation, cloud, and software delivery skills.
Well-Architected Delivery
- Apply Microsoft Well-Architected Framework principles across AI and automation solutions, ensuring designs consider reliability, security, operational excellence, performance efficiency, and cost optimisation from discovery through production.
Innovation
- Track the fast-moving Microsoft AI roadmap (Copilot, Power Platform, Azure AI Foundry) and translate new capabilities into practical, valuable solutions.
What We're Looking For
Essential Skills & Experience
- Significant hands-on experience delivering AI / intelligent automation solutions to production across both low-code and pro-code Microsoft technologies.
- Copilot ecosystem — Copilot Studio, Github Copilot and Microsoft 365 Copilot extensibility (agents, plugins, connectors).
- Power Platform — Power Automate, Power Apps, AI Builder, Dataverse, and Power Platform ALM/governance.
- Azure AI Foundry and the wider Azure AI stack — Azure OpenAI, Azure AI Search / retrieval-augmented generation, prompt engineering, and model evaluation.
- Proficient in applying vibe coding tools — using AI-assisted / natural-language development tools to accelerate prototyping and delivery.
- End-to-end deployment and adoption of enterprise-level agentic solutions — proven experience taking agentic AI from concept through production deployment to sustained business adoption.
- Strong pro-code engineering skills, typically in Python and/or C#/.NET, with sound software engineering practices (version control, testing, CI/CD).
- MLOps / LLMOps — deployment, monitoring, evaluation, and lifecycle management of AI solutions.
- Experience designing integrations using APIs, Microsoft Graph, and enterprise data sources.
- Working knowledge of Responsible AI, security, and data-governance principles.
- Strong communication and stakeholder-management skills; able to translate between technical and business audiences.
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Desirable
- Relevant Microsoft certifications (e.g., AI-102 Azure AI Engineer Associate, PL-400 Power Platform Developer, PL-600 Power Platform Solution Architect, or Azure AI Foundry / Copilot credentials).
- Experience with the AWS AI stack (e.g., Amazon Bedrock, SageMaker, Kiro, and related AI services)
- Experience with agent orchestration frameworks (e.g., Semantic Kernel, AutoGen) and multi-agent patterns.
- Experience operating within regulated or enterprise-scale environments.
- Track record of mentoring engineers or leading small delivery teams.
- Degree or equivalent practical experience in computer science, software engineering, data science, or a related field.
What Success Looks Like
- AI and automation solutions are delivered to production reliably, securely, and at the right level of code abstraction for each use case.
- Enterprise agentic solutions reach not just deployment but genuine, sustained adoption across the business.
- The team has clear, reusable patterns for when to use low-code vs pro-code, reducing rework and accelerating delivery.
- Solutions are well-evaluated, monitored, and trusted by the business.
- Engineering standards and team capability visibly improve through the Senior AI Engineer’s leadership and mentoring.
What's in it for you?
- A competitive basic salary
- 23 days’ holiday (rising to 27) with the opportunity to buy extra leave
- The opportunity to take a paid day out of the office, volunteering for our charity partners or a cause of your choice
- Company matched pension, life assurance, a cycle2work scheme, 15 weeks’ fully paid maternity, adoption and shared parental leave, paternity pay of two weeks...and plenty more
- Voluntary benefits designed to suit your lifestyle – from discounts on retail and socialising, to health & wellbeing, travel and technology
- Access to our Employee Network Groups, which represent every strand of diversity and allow colleagues to connect and learn from each other on an open, inclusive platform
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Skills
Azure AI Foundry
Microsoft 365 Copilot
Copilot Studio
Power Platform
Python
C#/.NET
LLMOps
RAG
Azure OpenAI
Prompt Engineering
API Integration
Microsoft Graph
Dataverse
CI/CD
Solution Architecture
Responsible AI
Location