Technical Lead - Agentic AI
At a glance
- Salary
- Not published
- Location
- Paris, France
- Work type
- Hybrid
- Level
- Lead
- Posted
- today
- Verified live
- today
- In the office
- 2–3 days a week
- Skills
- OrchestrationMCPComputer visionVertex AIGCP
- Filed under
- AI AgentsMLOps / InfraCore ML
How the pay compares
This posting doesn't publish pay. 38 of the 94 Lead AI Agents roles worldwide on this board do: the middle half pay $177k–$223k, with a median of $205k. Too few roles in France publish pay for a local comparison, so this is every country together — mostly US pay.
Middle half of the 38 that publish payMedian10th–90th percentileAnnual, USD
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Job description
👋🏼 We're Nagarro. We are a digital product engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18 000+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! By this point in your career, it is not just about the tech you know or how well you can code. It is about what more you want to do with that knowledge. Can you help your teammates proceed in the right direction? Can you tackle the challenges our clients face while always looking to take our solutions one step further to succeed at an even higher level? Yes? You may be ready to join us.
Context & Mission
As the Technical Lead, you will provide technical leadership for an embedded squad building with a set of reusable and interoperable AI agents spanning multiple consumer touchpoints (owned sites, chatbots, ChatGPT, and retailer apps). You will drive technical architecture, agent orchestration, and seamless integration across enterprise ecosystems.
Key Responsibilities
- Lead large, distributed engineering teams in delivering production-grade GenAI services.
- Define and drive agent orchestration, Model Context Protocol (MCP), Agent-to-Agent (A2A) integration, and knowledge graphs.
- Navigate and leverage existing ecosystem (Google, OpenAI, Anthropic, Salesforce).
- Collaborate closely with Advanced Engineering and Modiface teams, leveraging a strong AI/ML and computer vision culture to make the right architectural bets.
- Ensure strict adherence to technical constraints, including GCP cloud architecture, Google ADK/Vertex AI, security, and WCAG 2.1 AA accessibility standards.
- Partner with internal engineers through pair programming and knowledge transfer to support internalisation in 2027.
- Proven leadership of large, distributed engineering teams in complex enterprise environments.
- Deep expertise in agent orchestration, MCP, A2A integration, and knowledge graphs.
- Familiarity with enterprise AI/ML frameworks and computer vision (collaboration with Modiface).
- Strong background in building and running productised GenAI services.
Hybrid working model based in Paris (2-3 days/week onsite).