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AI Developer

Job in Guildford, Surrey County, GU1, England, UK
Listing for: Gravitas Group
Full Time position
Listed on 2026-09-12
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Azure
Salary/Wage Range or Industry Benchmark: 47000 - 60000 GBP Yearly GBP 47000.00 60000.00 YEAR
Job Description & How to Apply Below

AI Developer (Azure / Co-pilot Studio / AI Foundry)

Hybrid (2–3 days onsite, Guildford) | Public Sector | Permanent

Salary & Benefits
  • £47,000 – £60,000
    (flexible for the right candidate)
  • 30 days annual leave + 8 bank holidays + closure days over christmas (7 days)
  • 15% employer pension contribution
  • Plus an extensive benefits package and excellent work-life balance
The Opportunity

Gravitas are working with a large, forward-thinking organisation investing heavily in enterprise AI enablement across the Microsoft ecosystem.

With foundational licensing already in place (including Copilot Studio and Azure AI Foundry) and early-stage prototypes underway, they are now looking for a hands-on AI Developer to take ownership of building out capability, standards and scalable solutions.

This is a unique opportunity for someone who wants to set up and shape the AI function, defining how AI is designed, governed and deployed across a complex, multi-stakeholder environment.

The Role

You’ll sit within a well-established Microsoft-first IT function responsible for M365, Power Platform and Dynamics services, and take a leading role in embedding AI across the organisation.

The position blends low-code and pro-code AI development, with a strong focus on real-world deployment rather than experimentation.

Key focus areas include:
  • Copilot Studio: building internal copilots, knowledge assistants and automated workflows
  • Azure AI Foundry: developing advanced, Python-based solutions in secure environments
  • Creating enterprise-ready AI solutions, not just prototypes
  • Establishing governance, guardrails and best practices from the ground up
Key Responsibilities
  • Design, develop and implement AI solutions using Azure OpenAI, Cognitive Services and Azure ML
  • Build and deploy solutions across Copilot Studio and Power Platform
  • Lead on RAG patterns, prompt engineering and enterprise AI architecture
  • Take ownership of environment strategy, ALM and deployment pipelines
  • Define and implement AI governance, security and ethical frameworks
  • Work closely with technical and non-technical stakeholders to shape requirements
  • Mature early-stage prototypes into scalable, production-ready services
  • Act as a go-to SME for AI, supporting wider adoption across the organisation
What They’re Looking For Essential
  • Proven experience with Azure AI services (Foundry, Cognitive Services, Azure ML)
  • Demonstrable delivery of AI solutions within an enterprise IT environment
  • Strong understanding of:
  • ALM, environments and deployment strategies
  • Security, governance and Responsible AI principles
  • Ability to work autonomously and take ownership of delivery
  • Experience translating ambiguous requirements into practical solutions
Desirable
  • Python and pro-code AI development experience
  • Exposure to Copilot Studio or similar low-code AI platforms
  • Knowledge of RAG, vector search and orchestration frameworks (e.g. Lang Chain)
  • Experience establishing standards and guardrails from scratch
  • Potential to take on technical leadership or mentoring responsibilities
Candidate Profile

This role is best suited to someone who:

  • Can operate independently and “run with” initiatives without heavy oversight
  • Brings enterprise IT maturity, not just academic or experimental exposure to AI
  • Understands how to move from prototype to production
  • Enjoys shaping frameworks, governance and best practice
  • Wants to play a key role in a growing and evolving AI capability
Why Apply?
  • Opportunity to define and shape AI capability from the ground up
  • Work within a mature Microsoft environment with strong internal backing
  • Exposure to both low-code and advanced AI engineering use cases
  • High-impact role with visibility across the organisation
  • Excellent benefits and long-term stability
Details
  • Hybrid working (2–3 days onsite in Guildford)
  • Flexible working environment
  • Occasional out-of-hours work required for key releases or support
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