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- Tasks: Lead innovative AI projects and drive growth in a dynamic tech environment.
- Company: Join a forward-thinking company at the forefront of AI technology.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Be part of a collaborative team with exciting career advancement opportunities.
- Why this job: Make a real impact by shaping the future of AI solutions for enterprise clients.
- Qualifications: 15+ years in tech consulting with strong Microsoft AI expertise required.
The predicted salary is between 80000 - 100000 £ per year.
We are seeking a visionary and hands-on Microsoft AI Lead to spearhead our Applied AI capability within the Microsoft Full Stack AI (FDE) practice. This leader will own the end-to-end strategy, delivery, and growth of five interconnected AI pillars — M365 Copilot Agents, Microsoft Native AI Agent Orchestration, Microsoft Foundry, Power Platform AI, and Responsible AI Governance — driving measurable business outcomes for enterprise clients. The ideal candidate combines deep Microsoft AI platform expertise with the executive presence and commercial acumen to build a high-performing team and drive growth.
Key Responsibilities
- M365 Copilot Agents + Deploy: Lead design and deployment of Microsoft 365 Copilot agents (Declarative & Custom Engine Agents) across enterprise clients. Define best practices for Copilot extensibility using Microsoft 365 Agents SDK, Graph connectors, and Teams AI Library. Oversee adoption and change-management programmes to maximise Copilot ROI for clients.
- Microsoft Native AI Agent Orchestration: Architect multi-agent solutions leveraging Azure AI Agent Service, Semantic Kernel, and AutoGen frameworks. Drive development of orchestration patterns (sequential, parallel, handoff) for complex AI workflows. Ensure seamless integration between agents, enterprise data sources, and downstream systems of record.
- Microsoft Foundry (Azure AI Foundry): Lead client engagements involving Azure AI Foundry for model fine-tuning, evaluation, and deployment at scale. Build accelerators and reusable assets on the Foundry platform to reduce time-to-value. Stay current with Foundry's model catalogue (OpenAI, Meta, Mistral, Phi) and advise clients on model selection.
Required Skills & Experience
- 15+ years of experience in technology consulting or enterprise software, with at least 5 years in AI/ML leadership roles.
- Deep hands-on expertise across the Microsoft AI stack: Azure OpenAI Service, Azure AI Foundry, Semantic Kernel, Copilot Studio, Power Platform, and Microsoft 365.
- Strong understanding of LLM architectures, RAG patterns, agentic workflows, and prompt engineering.
- Experience delivering complex AI transformation programmes for clients in regulated industries.
- Demonstrated ability to translate technical AI capabilities into compelling business value propositions.
- Excellent executive communication, client relationship management, and stakeholder influence skills.
- Strong commercial acumen — skills in deal structuring, SOW development, and contract negotiations.
Preferred Qualifications
- Microsoft certifications: Azure AI Engineer Associate (AI-102), Azure Data Scientist (DP-100), Power Platform Solution Architect (PL-600).
- Experience as a Microsoft Partner-side architect or having held roles within Microsoft (FTE/FDE/CSA).
- Familiarity with MLOps pipelines, Azure Machine Learning, and model governance tooling.
- Contributions to open-source AI projects or publications in AI/ML domains.
- Experience with multi-cloud AI strategies and interoperability with AWS Bedrock or Google Vertex AI.
Full Stack Engineer employer: Infinity Quest
Contact Detail:
Infinity Quest Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full Stack Engineer
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even local tech events. The more you engage with others, the better your chances of landing that Full Stack Engineer role.
✨Show Off Your Skills
Create a portfolio showcasing your projects, especially those involving Microsoft AI technologies. Share it on platforms like GitHub or your personal website. This gives potential employers a taste of what you can do!
✨Ace the Interview
Prepare for technical interviews by practising coding challenges and system design questions. Don’t forget to brush up on your knowledge of Azure AI services and how they relate to real-world applications.
✨Apply Through Us!
Check out our website for the latest job openings. Applying directly through us not only streamlines the process but also shows your genuine interest in joining our team at StudySmarter!
We think you need these skills to ace Full Stack Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Full Stack Engineer role. Highlight your expertise in Microsoft AI platforms and any relevant projects you've worked on. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about AI and how your background makes you the perfect fit for this role. Be sure to mention specific projects or achievements that demonstrate your capabilities.
Showcase Your Technical Skills: Don’t forget to include any relevant certifications or technical skills in your application. If you’ve got experience with Azure OpenAI Service or M365 Copilot, let us know! We love seeing candidates who are up-to-date with the latest tech.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining the StudySmarter team!
How to prepare for a job interview at Infinity Quest
✨Know Your Microsoft AI Stack
Make sure you brush up on your knowledge of the Microsoft AI stack, especially Azure OpenAI Service and Power Platform. Be ready to discuss how you've used these tools in past projects and how they can drive business value for clients.
✨Showcase Your Leadership Skills
Since this role involves leading a team, prepare examples that highlight your leadership experience. Think about times when you successfully managed a project or guided a team through a complex AI transformation programme.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions about LLM architectures and agentic workflows. Brush up on your understanding of RAG patterns and prompt engineering, as these are crucial for the role.
✨Demonstrate Commercial Acumen
Be ready to talk about your experience with deal structuring and contract negotiations. Highlight any successful client engagements where you translated technical capabilities into compelling business propositions.