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- Tasks: Lead innovative AI projects and design cutting-edge solutions for enterprise clients.
- Company: Join a visionary tech company at the forefront of AI development.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with exciting career advancement opportunities.
- Why this job: Make a real impact in the AI space and drive transformative change.
- Qualifications: 5+ years in AI/ML leadership with deep Microsoft AI stack expertise.
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
- Deep 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 Ai in London employer: Wipro
Contact Detail:
Wipro Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full Stack Engineer Ai in London
✨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 job applications alone 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 gives potential employers a tangible sense of what you can do.
✨Ace the Interview
Prepare for interviews by practising common questions and scenarios related to AI and Microsoft technologies. Be ready to discuss how you've tackled challenges in past roles and how you can bring value to their team.
✨Apply Through Our Website
When you find a role that excites you, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing passionate candidates who are eager to join us!
We think you need these skills to ace Full Stack Engineer Ai in London
Some tips for your application 🫡
Show Off Your Skills: When you're writing your application, make sure to highlight your deep experience with the Microsoft AI stack. We want to see how your hands-on expertise can drive growth and deliver value in our projects.
Tailor Your Application: Don’t just send a generic application! Tailor it to reflect how your background aligns with the key responsibilities listed in the job description. We love seeing candidates who take the time to connect their experience with what we’re looking for.
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and experiences. Remember, less is often more!
Apply Through Our Website: Make sure 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’s super easy to do!
How to prepare for a job interview at Wipro
✨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
As a Full Stack Engineer in AI, you'll need to demonstrate your ability to lead teams and manage complex projects. Prepare examples of how you've successfully led AI transformation programmes and how you navigated challenges along the way.
✨Understand Client Needs
Be prepared to talk about how you translate technical capabilities into business outcomes. Think of specific instances where you've identified client needs and tailored solutions that maximised ROI, particularly with Microsoft 365 Copilot agents.
✨Stay Current with AI Trends
Familiarise yourself with the latest trends in AI, especially around LLM architectures and RAG patterns. Being able to discuss recent developments or innovations will show your passion for the field and your commitment to staying ahead of the curve.