At a Glance
- Tasks: Lead the design and delivery of innovative AI solutions and mentor a talented team.
- Company: Coforge, a forward-thinking tech company in London.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Join a dynamic team focused on cutting-edge technology and responsible AI practices.
- Why this job: Shape the future of AI while making a real impact in a collaborative environment.
- Qualifications: 6-9 years in AI engineering with strong Python or TypeScript skills.
The predicted salary is between 81000 - 99000 £ per year.
Work mode: Hybrid - 3 days weekly from office
Experience: 6-9 years
We at Coforge are looking for Generative AI Lead in London, UK.
Role Purpose
Lead the design and delivery of multi-agent systems and reusable AI components, ensuring that agentic solutions are scalable, secure, testable, and aligned with business outcomes.
Key Responsibilities
- Own technical design and delivery of multi-agent workflows and reusable agent components.
- Guide engineers on orchestration, RAG, memory, tool use, routing, retries, and human-in-the-loop patterns.
- Define coding, testing, observability, security, and deployment standards for agentic solutions.
- Review architectures, prompts, evaluation results, and production-readiness evidence.
- Coordinate with product, domain, platform, evaluation, UX, and governance teams.
- Mentor engineers, resolve technical blockers, and improve delivery predictability.
- Monitor quality, latency, cost, reliability, and adoption after release.
- Required Skills
- Advanced Python and/or Type Script engineering
- Multi-agent orchestration frameworks and design patterns
- RAG, vector search, memory, tool calling, and structured outputs
- Cloud AI platforms, APIs, containers, CI/CD, and observability
- AI evaluation, guardrails, security, and responsible-AI practices
- Technical leadership and solution review
Qualifications
Bachelor’s degree in computer science, Engineering, IT, or equivalent experience.
6-9 years in software, data, automation, or AI engineering.
Hands-on delivery of production generative-AI or agentic-AI solutions.
Experience leading engineers or owning a technical workstream.
- Strong technical judgement
- Coaching and mentoring ability
- Structured problem solving
- Stakeholder communication
- Ownership of quality and delivery
- Risk awareness and escalation discipline
- Performance Measures
- Delivery predictability and business outcomes
- Reuse of common AI components
- Agent quality, reliability, latency, and cost
- Production defect and incident rates
- Engineering standards and review quality
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Generative AI Lead in London employer: Coforge
Coforge is an excellent employer that fosters a collaborative and innovative work culture, particularly for those in the tech space. Located in London, employees benefit from a vibrant city atmosphere, ample professional growth opportunities, and a commitment to cutting-edge technology, ensuring that team members are at the forefront of industry advancements. With a focus on employee development and a supportive environment, Coforge stands out as a rewarding place to build a meaningful career in data architecture.
StudySmarter Expert Advice🤫
We think this is how you could land Generative AI Lead 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 Coforge 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 Coforge.
✨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 Coforge.
✨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 Coforge 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 Generative AI Lead 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 Coforge.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Coforge 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 Coforge
✨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 Coforge 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.
