At a Glance
- Tasks: Lead innovative AI projects and design cutting-edge solutions for enterprise clients.
- Company: Join a forward-thinking tech company at the forefront of AI innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with potential for significant career advancement in a rapidly evolving field.
- Why this job: Be a key player in shaping the future of AI technology and drive real business impact.
- Qualifications: 15+ years in tech consulting with strong expertise in Microsoft AI platforms.
The predicted salary is between 90000 - 120000 € 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 in Slough employer: Infinity Quest
As a leading employer in the tech industry, we offer an innovative and collaborative work environment that empowers our Full Stack Engineers to drive transformative AI solutions. Our commitment to employee growth is reflected in our comprehensive training programmes and opportunities for advancement within the Microsoft ecosystem, ensuring that you stay at the forefront of technology. Located in a vibrant tech hub, we provide a dynamic culture that values creativity and teamwork, making it an exciting place to build your career.
StudySmarter Expert Advice🤫
We think this is how you could land Full Stack Engineer in Slough
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in AI. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving Microsoft AI tools. This will give potential employers a taste of what you can do.
✨Ace the Interview
Prepare for technical interviews by brushing up on your knowledge of Microsoft AI platforms. Practice common interview questions and be ready to discuss how you've tackled challenges in past roles.
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We think you need these skills to ace Full Stack Engineer in Slough
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with the Microsoft AI stack and any relevant projects you've worked on. We want to see how your skills align with our needs, so don’t hold back!
Tailor Your Application:Take a moment to customise your application for this role. Use keywords from the job description to show us you understand what we're looking for. It’ll make your application stand out!
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see why you’re the perfect fit!
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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 Experience
Since this role requires a strong leadership presence, prepare examples that highlight your experience in leading AI transformation programmes. Think about specific challenges you faced and how you overcame them to deliver results.
✨Understand Client Needs
Demonstrate your ability to translate technical capabilities into business outcomes. Research the company’s clients and think about how you can address their unique needs with the Microsoft AI solutions you’re familiar with.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions, especially around LLM architectures and agentic workflows. Brush up on your prompt engineering skills and be ready to explain complex concepts in a way that’s easy to understand.