At a Glance
- Tasks: Lead the design and deployment of innovative AI solutions using Microsoft technologies.
- Company: Join a top Microsoft Global Alliance Partner with a focus on cutting-edge AI.
- Benefits: Enjoy extensive training, real-time access to resources, and collaboration with industry experts.
- Other info: Dynamic role with opportunities for mentorship and career growth.
- Why this job: Make a significant impact in the AI field while developing your skills and expertise.
- Qualifications: Experience with LLMs, AI solutions, and strong coding skills in Python required.
The predicted salary is between 80000 - 100000 £ per year.
We are seeking a highly skilled and innovative Lead Agentic AI Engineer to join our team and drive the design, development, and deployment of production‑grade generative AI and agentic solutions using Microsoft technologies. This role is ideal for a technically strong engineer who has hands‑on experience building AI solutions, orchestrating agentic workflows, implementing evaluation frameworks, and deploying solutions into secure, scalable, and cost‑optimised production environments using platforms such as Azure AI Foundry, Microsoft Agent Framework, and Copilot Studio.
Key Responsibilities
- Take ownership of technical solution design and architecture decisions, bringing clarity from ambiguous client requirements.
- Act as the technical lead on projects, guiding implementation approach, engineering standards, and best practices.
- Design, develop, and deploy Agentic AI and GenAI solutions in enterprise environments.
- Lead end‑to‑end solution delivery, from discovery and design through implementation, deployment, and handover.
- Make clear technical design decisions that support scalability, reliability, security, and maintainability.
- Lead and mentor junior team members, helping them deliver high‑quality outcomes and grow their technical capability.
- Collaborate effectively with cross‑functional teams in agile environments.
- Manage technical stakeholders and client conversations, translating business needs into practical AI solution designs.
- Support or lead pre‑sales activities, including solution shaping, technical estimations, demos, proposals, and client discussions.
- Lead implementation during delivery, ensuring the proposed solution is built to the agreed architecture and quality standards.
Qualifications
- Hands‑on experience with LLMs such as OpenAI GPT, Claude, Gemini or Mistral.
- Experience designing and building agentic AI solutions, including tool use, workflow orchestration, routing, memory, and multi‑agent patterns.
- Expertise in prompt engineering, structured outputs, and reliability patterns to optimise model performance.
- Ability to implement evaluation frameworks for quality, grounding, task success, safety, latency, and cost.
- Experience deploying AI solutions into production with focus on cost optimisation, scalability, observability, security, and governance.
- Experienced in using Microsoft GenAI ecosystem, including M365, Copilot Studio, Azure AI Foundry, and Microsoft Agent Framework.
- Proficient in Python and production‑quality code practices.
- Strong understanding of software engineering principles, architecture patterns, and delivery best practices.
- Experience with API development using frameworks such as FastAPI, Flask, or Django.
- Knowledge of Docker, containerised deployments, CI/CD, and cloud‑native delivery patterns.
What Will Make You Stand Out
- Experience building, deploying, and evaluating multi‑agent AI solutions, agent orchestration patterns, RAG architectures, and enterprise integrations.
- Knowledge of agent communication protocols and interoperability patterns, such as MCP and A2A.
- Ability to balance innovation with practical delivery considerations, including risk, cost, security, and production readiness.
- Confidence contributing to pre‑sales while also being able to lead implementation during delivery.
- Curiosity and motivation to stay current with the latest advancements in GenAI, agentic AI, and AI engineering frameworks.
Education & Certifications
- Bachelor’s degree in Computer Science, Data Science, or a related field.
- Microsoft certified (e.g., Azure AI Apps and Agents Developer Associate or Agentic AI Business Solutions Architect).
Benefits
- Opportunity to work for Microsoft’s Global Alliance Partner of the Year (14 years in a row), with exceptional development and training (minimum 80 hours per year for training and paid certifications).
- Real‑time access to technical and skilled resources globally.
- Collaborate with some of the brightest Microsoft minds.
- Build your expertise, solve problems, learn, and develop.
Lead Agentic AI Engineer employer: Avanade
Avanade is an excellent employer for those seeking to thrive in the dynamic field of cloud architecture. With a strong emphasis on innovation and client satisfaction, employees benefit from structured learning opportunities and a collaborative work culture that fosters personal development. Located in Greater London, Avanade offers a vibrant environment where skilled professionals can lead impactful projects and grow their careers in a diverse and supportive setting.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Agentic AI Engineer
✨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 Avanade 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 Avanade.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Avanade.
✨Explore Job Boards Specifically for Tech Roles
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 Avanade 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 Lead Agentic AI Engineer
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 Avanade.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Avanade 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 Avanade
✨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 Avanade 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.
