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For Companies 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, health perks, remote flexibility, and opportunities for professional growth.
- Other info: Dynamic team environment with significant career advancement potential.
- Why this job: Be a key player in shaping the future of AI technology and drive impactful 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. 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
- 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 employer: Wipro
Contact Detail:
Wipro Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full Stack Engineer Ai
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and tech space. Attend meetups, webinars, or even local events. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Microsoft AI technologies. This is your chance to demonstrate your hands-on expertise and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of the Microsoft AI stack. Be ready to discuss your experience with Azure OpenAI Service and how you've delivered complex AI transformation programmes. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals 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
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Full Stack Engineer AI. Highlight your experience with Microsoft AI technologies and any relevant projects you've worked on. We want to see how your skills align with our needs!
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 you can contribute to our team. Be sure to mention specific experiences that relate to the key responsibilities outlined in the job description.
Showcase Your Projects: If you've worked on any AI-related projects, don't hold back! Include links or descriptions of your work that demonstrate your hands-on expertise with the Microsoft AI stack. We love seeing real-world applications of your skills.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
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
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.
✨Understand Client Needs
Be prepared to talk about how you’ve translated technical capabilities into business outcomes. Research the company’s clients and think about how your skills can help them achieve their goals, especially in regulated industries.
✨Communicate Clearly and Confidently
Practice your executive communication skills. You’ll need to convey complex AI concepts in a way that resonates with stakeholders. Consider doing mock interviews to refine your ability to explain your ideas clearly and confidently.