At a Glance
- Tasks: Design and develop innovative AI solutions using cutting-edge technologies.
- Company: Join a world-leading organisation committed to inclusivity and innovation.
- Benefits: Competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with excellent career advancement opportunities.
- Why this job: Make a real impact in the AI field while working on exciting projects.
- Qualifications: Experience with Copilot and a strong background in Data Engineering or related fields.
AI Developer
6 Month contract initially
Based: 2-3 Days onsite in Leeds/Bradford
Rate - £Market rates p/d via Umbrella
We have a great opportunity with a world leading organisation where you will be provided with all of the support and development to succeed. A progressive organisation where you can really make a difference. We have a great opportunity for an AI Developer on a long term program of work.
Key Responsibilities:
- Design, develop and maintain Copilot solutions, intelligent agents, plugins, connectors and LLM workflows (e.g., Copilot Studio).
- Build scalable components (prompt orchestration, retrieval layers, automation flows, model interfaces, validation pipelines).
- Integrate with enterprise systems/APIs/data platforms, ensuring security, resilience and architecture alignment.
- Conduct rapid prototyping to validate feasibility, model behaviour, UX and performance.
- Implement secure by design and responsible AI practices (guardrails, controls, monitoring, auditability).
- Develop/optimise RAG components, embeddings, vector queries and metadata strategies for accuracy/reliability.
- Implement observability: logging, telemetry and LLM monitoring for quality and incident triage.
- Create reusable assets (prompt libraries, agent templates, connectors, test harnesses) and documentation.
- Translate design artefacts into build ready specifications and aligned solution designs.
- Co define test strategies and model performance thresholds with the AI Test Lead.
- Contribute to cross functional design/architecture reviews and standards evolution.
- Mentor colleagues and enable pro /low /no code teams to adopt AI safely.
- Ensure responsible AI principles (e.g., transparency, explainability, ISO42001) are incorporated into all development.
- Provide insight to support business cases, investment decisions, risk assessments, and prioritisation discussions at AI governance forums.
- Collaborate with teams to ensure all AI development work is implementable, sustainable and aligned to enterprise architecture.
- Maintain a library of development artefacts, patterns and reusable assets to support repeatability and uplift maturity across the AI Foundry.
- Managing escalations supporting the wider Data & AI Leadership team.
Key Skills & Experience:
- Hands-on experience with Copilot. Ideally, candidates should have a strong background in Data Engineering or broader Engineering disciplines.
- It is essential that all candidates demonstrate solid, hands-on experience within the Microsoft ecosystem, specifically:
- Building and integrating agents within Copilot Studio.
- Leveraging PowerApps, Dataverse, Fabric, and Azure.
- Utilizing Foundry environments.
- Practical experience integrating agents, APIs, and associated components within these specific platforms.
- Higher education qualification (or equivalent experience) in Ethics, Law, Risk Management, Social Sciences, Data/Computer Science or relevant field.
- Proven hands‑on experience building solutions using LLMs, AI APIs, Copilot Studio or agent frameworks.
- Strong understanding of vector databases, embeddings, RAG architectures and retrieval optimisation.
- Experience implementing secure‑by‑design practices including authentication, authorisation, data protection and auditability.
- Experience working within Microsoft Foundry‑style model and agent engineering, including LLM orchestration, RAG component optimisation, agent lifecycle management, versioning, monitoring, drift detection, and building reusable model/agent components governed under enterprise controls.
- Experience working with Microsoft Azure AI and cloud-native engineering, including integration with Azure AI services, secure deployment patterns, observability, telemetry, vector search and embeddings, and alignment with enterprise-grade cloud architectures used across the AI Foundry.
- Familiarity with DevOps, CI/CD, IaC, observability, monitoring and modern engineering pipelines.
- Ability to translate complex requirements or user needs into scalable, maintainable technical solutions.
- Ability to debug unexpected AI or model behaviour, including hallucinations, variability and reliability issues.
- Strong documentation skills and ability to produce reusable code assets, templates and guidance.
- Collaborative working style with analysts, testers and architects throughout delivery.
- Comfortable learning and adapting to emerging AI technologies and engineering patterns.
- Excellent stakeholder management and communication skills, including senior‑level engagement.
- Commercial awareness and a value‑driven mindset.
- Familiarity with AI ethics, fairness, transparency and accountability principles.
- Use of professional networks and external influencers with clear evidence of learning and development to build and maintain skills and expertise.
This is an excellent opportunity on a great project of work. If you are looking for your next exciting opportunity, apply now for your CV to reach me directly, we will respond as soon as possible.
LA International is an award-winning partner of choice for many of the world's most influential companies and government organisations. Holding Enhanced Government Security Accreditation, we are recognised as the European market leader in the delivery of Security Cleared talent to organisations that demand the very highest levels of security, compliance and assurance.
A multiple award-winning organisation, having secured the prestigious Queens Award for Enterprise: International Trade over consecutive years. We are committed to fostering an inclusive, equitable and accessible workplace where everyone feels valued and supported. We welcome applications from all individuals, regardless of background or identity, and we encourage candidates who may not meet every listed requirement to still apply. If you require any adjustments or support during the recruitment process, please let us know and we will work with you to ensure a fair and accessible experience.
Please Note: If a high volume of applications is received, only candidates shortlisted will be contacted.
AI Foundry Engineer: Copilot & LLM Orchestration in Bradford employer: LA International
Join a world-leading organisation that prioritises your professional growth and development as an AI Foundry Engineer in the vibrant Leeds/Bradford area. With a commitment to innovation and responsible AI practices, you'll be part of a progressive work culture that values collaboration and inclusivity, offering you the chance to make a meaningful impact while working on cutting-edge projects. Enjoy competitive rates and the opportunity to mentor others, all within a supportive environment that champions diversity and accessibility.
StudySmarter Expert Advice🤫
We think this is how you could land AI Foundry Engineer: Copilot & LLM Orchestration in Bradford
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to Copilot and LLM orchestration. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to AI development. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate candidates like you!
We think you need these skills to ace AI Foundry Engineer: Copilot & LLM Orchestration in Bradford
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Foundry Engineer role. Highlight your experience with Copilot, LLMs, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Skills:Don’t just list your skills; demonstrate them! Use specific examples from your past work that showcase your hands-on experience with Microsoft technologies and AI development. This helps us see your practical knowledge in action.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Explain why you're passionate about AI and how you can contribute to our team. Keep it concise but engaging, and make sure to mention any unique experiences that set you apart.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the process smoother for everyone involved!
How to prepare for a job interview at LA International
✨Know Your Tech Inside Out
Make sure you’re well-versed in the Microsoft ecosystem, especially Copilot Studio and Azure AI services. Brush up on your experience with LLMs, vector databases, and RAG architectures, as these will likely come up during the interview.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific examples where you've debugged unexpected AI behaviour or implemented secure-by-design practices. Highlighting your hands-on experience with real-world challenges will demonstrate your capability and readiness for the role.
✨Prepare for Collaborative Questions
Since this role involves working closely with cross-functional teams, think about times when you’ve collaborated with analysts, testers, or architects. Be ready to share how you’ve contributed to team success and how you handle stakeholder management.
✨Emphasise Your Commitment to Responsible AI
Familiarise yourself with AI ethics, fairness, and transparency principles. Be ready to discuss how you’ve incorporated responsible AI practices into your work, as this is a key focus for the organisation and will show that you align with their values.