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- Tasks: Lead innovative AI projects and drive growth in Microsoft Full Stack AI.
- Company: Join a cutting-edge tech firm focused on AI transformation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with exciting career advancement opportunities.
- Why this job: Be at the forefront of AI technology and make a real impact.
- 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 City of London employer: Wipro
Contact Detail:
Wipro Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full Stack Engineer Ai in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and tech space, especially those who work with Microsoft technologies. A friendly chat can lead to insider info about job openings or even referrals that could give you a leg up.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to Microsoft AI tools. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really impress potential employers.
✨Tip Number 3
Prepare for interviews by diving deep into the Microsoft AI stack. Brush up on Azure OpenAI Service, Copilot Studio, and other relevant tools. Being able to discuss these confidently will show you're not just a candidate, but a passionate expert ready to contribute.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented folks like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Full Stack Engineer Ai in City of London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your deep experience with the Microsoft AI stack in your application. We want to see how your hands-on expertise can drive growth and deliver value, so don’t hold back on showcasing your technical prowess!
Tailor Your Application: Customise your application to reflect the key responsibilities mentioned in the job description. We love it when candidates connect their past experiences directly to what we’re looking for, especially around AI transformation programmes.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and how you can contribute to our team.
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 this exciting opportunity. We can’t wait to hear from you!
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 Azure AI Foundry. 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’ve influenced stakeholders in previous roles.
✨Prepare for Technical Questions
Expect deep technical questions about LLM architectures, RAG patterns, and agentic workflows. Brush up on prompt engineering techniques and be ready to explain how you would architect multi-agent solutions using Azure AI Agent Service.
✨Communicate Your Commercial Acumen
Be prepared to discuss your experience with deal structuring and contract negotiations. Highlight any instances where you've translated technical capabilities into compelling business propositions, as this will show your understanding of the commercial side of AI.