Senior AI Engineer

Purpose of 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. *CANDIDATES MUST BE ELIGIBLE FOR SC CLEARANCE*

• Job title
• Senior AI Engineer

Job Description

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 Open AI, 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.
• 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.
• I 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 Open AI, 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.

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, Sage Maker, Kiro, and related AI services Experience with agent orchestration frameworks (e. g., Semantic Kernel, Auto Gen) 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.

• How this aligns to Capita’s values
• Customer First, Always — You design and deliver reliable, secure, and adoption‑ready AI solutions that create meaningful, measurable impact for Capita’s customers.
• Fearless In Achieve Together — You collaborate across teams, mentor engineers, and establish shared patterns that help the whole organisation deliver AI solutions more effectively.
• Achieve Together — You collaborate across teams, mentor engineers, and establish shared patterns that help the whole organisation deliver AI solutions more effectively.
• Everyone is Valued — You empower both pro‑code engineers and citizen developers through inclusive tooling, responsible AI practices, and accessible guidance that enables everyone to contribute.
• Customer first, always Fearless innovation Achieve together Everyone is valued
• Join Capita – Where Innovation Meets Opportunity

Capita is a dynamic leader in consulting and digital services, helping some of the UK’s most recognised organisations transform and thrive.

We use cutting‑edge technology and fearless innovation to create smarter, more efficient solutions that make a real difference.

Our work spans diverse sectors—government, healthcare, education, and finance—offering you the chance to contribute to projects that impact millions of lives.

At Capita, you’ll be part of a collaborative, forward‑thinking team that values creativity, growth, and inclusion.

We’re committed to your development and success, providing opportunities to learn, progress, and shape better outcomes for customers and communities.

If you’re ready to make an impact and grow your career, Capita is the place for you.

Check out our website

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
• Equal Opportunities and Diversity Statement

We are committed to building a workforce that reflects the diversity of the communities we serve.

As part of our strategic goals, we are focused on accelerating gender and ethnic representation in leadership roles.

We warmly encourage applications from women and individuals from Black, Asian, and other ethnic minority backgrounds.

We’re an equal opportunity and Disability Confident employer, which means we recruit and develop people based on their merit and passion.

We’re committed to providing an inclusive, barrier‑free recruitment process and working environment for everyone.

If you need the job description or application form in an alternative format (such as large print or audio), or if you’d like to discuss other changes or support you might need going forward, please email and we’ll get back to you. For more information about equal opportunities and process adjustments, please visit the Capita Careers website.

• Location
• Home-Based - GBR , United Kingdom
• Time Type
• Full time
• Contract Type
• Permanent

Capita is an outsourcer, helping clients across the public and private sectors run complex business processes more efficiently, creating better consumer experiences.

Operating across 8 countries, we support primarily UK and European clients with people‑based services underpinned by market‑leading technology.

#J-18808-Ljbffr