Technical Lead - Agentic AI

Nagarro • English • Artificial Intelligence • Commerce • 2 days a week in the office • 1 day ago
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Salary
≈ $87k – $209k per year (Estimated)
Location
Hybrid (Paris, France)
Seniority
Staff
Employment
Full-Time

Confirmed on the employer's own hiring board on Sep 25, 2026. First seen by Alion on Sep 24, 2026. Nagarro scores A on the Alion truth index.

Overview
Company
Impact
Profile match

Nagarro

Nagarro is a digital engineering company founded in 1996 and headquartered in Munich, which spun out of the Allgeier group and listed on the Frankfurt exchange in 2020. It builds custom software, cloud platforms and automation for clients across automotive, retail, financial services, travel and manufacturing, delivered by a globally distributed workforce concentrated in India, Eastern Europe and Latin America. The company describes its structure as deliberately non-hierarchical and fluid, and it has grown largely through a steady run of acquisitions that add regional presence and specialist practices rather than through a single large merger.
nagarro.com • HQ: Munich, Germany • IT Outsourcing • Custom Software Development • Cloud Computing • IT Consulting • 5000+ employees • Est. 1996

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, with 18,000+ experts across 39 countries. Our work culture is dynamic and non-hierarchical, empowering our people to take ownership, collaborate openly, and create meaningful impact.

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.
  • 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 (2-3days/week onsite).

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