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 daily rate, flexible work environment, and professional growth opportunities.
- Other info: Dynamic team culture with excellent career advancement potential.
- 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.
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 Developer in Bradford employer: LA International
Join a world-leading organisation that prioritises your professional growth and development as an AI Developer in the vibrant Leeds/Bradford area. With a commitment to fostering an inclusive work culture, you will have access to cutting-edge projects, mentorship opportunities, and the chance to make a significant impact in the field of AI. Enjoy competitive rates and the flexibility of working 2-3 days onsite, all while being part of a team that values innovation and responsible AI practices.
StudySmarter Expert Advice🤫
We think this is how you could land AI Developer in Bradford
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field and let them know you're on the lookout for opportunities. You never know who might have the inside scoop on a role that’s perfect for you.
✨Tip Number 2
Get your portfolio ready! Showcase your best projects, especially those involving Copilot or LLMs. A strong portfolio can really set you apart during interviews and show off your hands-on experience.
✨Tip Number 3
Practice makes perfect! Prepare for technical interviews by brushing up on your coding skills and understanding of AI principles. Mock interviews with friends or using online platforms can help you feel more confident.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for talented individuals like you to join our team and make a difference in the AI space.
We think you need these skills to ace AI Developer in Bradford
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Developer role. Highlight your experience with Copilot, Microsoft technologies, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Projects:Include specific examples of projects where you've designed or developed AI solutions. This could be anything from building intelligent agents to integrating APIs. We love seeing real-world applications of your skills!
Be Clear and Concise:When writing your application, keep it clear and to the point. Use bullet points for key achievements and avoid jargon unless it's necessary. We appreciate straightforward communication that gets to the heart of your experience.
Apply Through Our Website:Don't forget to apply 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 whole 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 technologies mentioned in the job description, especially Copilot Studio, Azure AI, and vector databases. Brush up on your hands-on experience with these tools, as you might be asked to demonstrate your knowledge during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex problems using AI solutions. Think about how you’ve implemented secure-by-design practices or optimised RAG components, and be ready to explain your thought process and the impact of your work.
✨Understand the Company’s Values
Research the organisation’s commitment to responsible AI and ethical practices. Be prepared to discuss how you can contribute to these principles in your role, showing that you align with their values and understand the importance of transparency and accountability in AI development.
✨Practice Collaborative Scenarios
Since collaboration is key in this role, think of examples where you’ve worked with cross-functional teams. Prepare to discuss how you’ve engaged with analysts, testers, and architects, and how you’ve contributed to design reviews or mentored others in adopting AI safely.