Lead Engineer - Agentic Systems (AI/ML focus)

Thales
Bucharest
Workplace: HybridFull timeFunction: Data Science & Machine LearningSkills: ["Technical leadership","Mentorship","Code review","Engineering excellence","Collaboration"]

Lead the architecture and technical delivery of a greenfield, code-first “agent garden” enabling large-scale integration of AI agents, tools, and data into engineers’ workflows. Own core infrastructure such as connectors, orchestration, authentication/authorization, traceability and auditability, data pipelines, and community SDKs/APIs. Serve as a tech lead shaping engineering excellence, driving testing/quality gates, and mentoring engineers while collaborating with Thales’ internal AI ecosystem.

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FursaFursa
Thales
Thales
4 days ago

Lead Engineer - Agentic Systems (AI/ML focus)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live
Reposted: similar role first listed 5 months ago

Job Summary

Lead the architecture and technical delivery of a greenfield, code-first “agent garden” enabling large-scale integration of AI agents, tools, and data into engineers’ workflows. Own core infrastructure such as connectors, orchestration, authentication/authorization, traceability and auditability, data pipelines, and community SDKs/APIs. Serve as a tech lead shaping engineering excellence, driving testing/quality gates, and mentoring engineers while collaborating with Thales’ internal AI ecosystem.
Location: Bucharest
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Manager level

Key Responsibilities

  • •Design and build core infrastructure for a programmatic, code-first agent garden including frameworks, connectors, and orchestration patterns.
  • •Develop foundation components for multi-system integrations, including authentication/authorization and traceability/auditability for safe AI operations.
  • •Build data pipelines that power agent capabilities and create SDKs/APIs to enable community contributions to a marketplace.
  • •Define and champion software craftsmanship and quality practices (BDD, DDD, TDD), testing strategies, and engineering rigor.
  • •Supervise and coordinate development of junior/mid engineers through delegation, code reviews, and mentorship.

Key Requirements

  • •Proven track record building complex, scalable systems from the ground up.
  • •Deep expertise in distributed systems (Kubernetes preferred), AI/ML engineering, infrastructure development, or developer tools.
  • •Demonstrated architecture experience making significant architectural decisions and owning their outcomes.
  • •Expert-level Python, system design, API design, authentication/authorization, and data engineering.
  • •Hands-on experience with LLM integrations, prompt engineering, agent frameworks, MCP knowledge (and/or ADK and A2A).
Experience:Distributed systemsAI/MLDeveloper tools
Skills:Technical leadershipMentorshipCode reviewEngineering excellenceCollaboration
Tech Stack:PythonKubernetesLLM integrationsPrompt engineeringAgent frameworksMCPModel Context ProtocolADKA2AAPI designAuthenticationAuthorizationData engineeringData pipelinesSDKsAPIsBDDDDDTDDClean architecture

Company Brief

Thales
Designs and delivers advanced systems and services for aerospace, defence, security, and digital identity and cybersecurity markets, serving government and commercial customers worldwide.
Industry: Defense Technology
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Paris, France
Founded: 2000
WebsiteLinkedIn