At a Glance
- Tasks: Design and build enterprise-grade AI solutions using Microsoft 365 technologies.
- Company: Join a leading tech firm at the forefront of AI innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with mentorship opportunities and a focus on responsible AI.
- Why this job: Shape the future of AI while collaborating with top industry experts.
- Qualifications: 12+ years in software architecture with strong Microsoft 365 experience.
The predicted salary is between 63000 - 77000 £ per year.
We are seeking an experienced Copilot & Agentic AI Architect to design, build, and govern enterprise-grade AI solutions across the Microsoft 365 ecosystem. This role pairs deep Microsoft 365 platform expertise with hands-on architecture of Microsoft Copilot extensibility and agentic AI systems. You will lead the design of declarative and custom-engine agents, orchestrate multi-agent workflows, ground AI on enterprise data through retrieval-augmented generation (RAG), and embed responsible-AI, security, and compliance controls end to end. You will act as the technical authority that connects business outcomes to scalable, secure, production-ready AI solutions.
Key Responsibilities
- Solution architecture: Define target architectures for Microsoft 365 Copilot extensibility — declarative agents, custom engine agents, plugins, connectors, and Copilot Studio solutions.
- Agentic AI design: Architect multi-agent orchestration, tool/function calling, planning, memory, and human-in-the-loop patterns using the Microsoft 365 Agents SDK, Copilot Studio, Semantic Kernel, and Azure AI Foundry.
- M365 integration: Integrate solutions with Microsoft Graph, Teams, Outlook, SharePoint, OneDrive, and the Power Platform.
- Observability & quality: Define testing, evaluation, monitoring, and cost/performance optimization practices for AI workloads.
- Reusable assets: Produce reference architectures, solution blueprints, and accelerators; drive key technical decisions and trade-offs.
- Stakeholder partnership: Work with product, security, and business stakeholders to translate requirements into secure, scalable designs.
- Leadership & mentoring: Mentor engineers, run design and code reviews, and evangelize adoption of the evolving Microsoft AI roadmap.
Nice to Have
- Grounding & RAG: Design retrieval-augmented generation and grounding architectures over Microsoft Graph, Graph connectors, SharePoint, Dataverse, and Azure AI Search.
- Governance & security: Establish guardrails across Entra ID, OAuth 2.0, Microsoft Purview, DLP, sensitivity labels, and Responsible AI standards.
- Model & prompt engineering: Lead model selection (Azure OpenAI / Azure AI Foundry catalog), prompt engineering, evaluation, and continuous improvement.
Required Qualifications & Experience
- 12+ years in software architecture or engineering, including 3+ years designing solutions on Microsoft 365 and/or Microsoft Azure.
- Proven experience building Microsoft Copilot extensibility (Copilot Studio, declarative agents, plugins) or comparable enterprise AI assistants.
- Hands-on experience with agentic AI frameworks — Microsoft 365 Agents SDK, Semantic Kernel, AutoGen, or LangChain / LangGraph.
- Strong experience with Azure OpenAI / Azure AI Foundry, prompt engineering, and RAG patterns.
- Deep working knowledge of the Microsoft Graph API and the M365 developer platform.
- Proficiency in at least one of C#, Python, or TypeScript.
- Solid understanding of identity and security (Entra ID, OAuth 2.0, RBAC) and data governance (Purview, DLP, sensitivity labels).
- Experience with the Power Platform (Power Automate, Power Apps, Dataverse).
- Strong grasp of Responsible AI principles and enterprise AI governance.
Technical Skills Matrix
- Agentic Frameworks: Microsoft 365 Agents SDK, Semantic Kernel, AutoGen, LangChain / LangGraph, MCP, A2A
- M365 Platform: Microsoft Graph, Teams, Outlook, SharePoint, OneDrive, Power Platform, Dataverse
- Security & Governance: C#, Python, TypeScript, REST/Graph APIs, CI-CD, Bicep / Terraform
Agentic Ai Architect in London employer: Wipro
Wipro is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets collaboration. With a strong focus on employee growth, we provide extensive training and development opportunities, ensuring our team members thrive in their careers while working on impactful projects across diverse sectors. Our competitive salary and benefits package, combined with a culture that values creativity and excellence, make Wipro a rewarding place to advance your professional journey.
StudySmarter Expert Advice🤫
We think this is how you could land Agentic Ai Architect in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Wipro or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Wipro.
✨Tap into Online Developer Communities
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Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Wipro that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Agentic Ai Architect in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Wipro.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Wipro and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Wipro
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Wipro uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
