Posted 8 days ago
Description
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 TypeScript 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
#J-18808-Ljbffr
