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Lead AI Engineer

Capco

Overview

As Lead AI Engineer in Capco AI Lab, you will design and implement production-grade Generative and Agentic AI solutions for financial services clients. You'll guide architecture, set engineering standards, and remain hands-on to deliver robust systems from prototype to production. You'll collaborate with clients and senior stakeholders to translate business needs into scalable AI architectures. This is a senior, client-facing role with impact on technology choices and project delivery, in a growth-focused, inclusive environment.

Retribuzione / Benefits

  • Comprehensive health benefit coverage
  • Meal Vouchers
  • Welfare allowance
  • Access to internal and Tier 1 learning platforms

Responsabilità

  • Design end-to-end architecture for Generative and Agentic AI solutions (orchestration, AI agents, tool/function calling, RAG, memory/state)
  • Maintain hands-on development, evolving prototypes into production-grade components
  • Define engineering standards and best practices for AI apps (reference architectures, testing, guardrails, observability, CI/CD)
  • Architect scalable, secure AI systems considering performance and production requirements
  • Evaluate and select LLMs, frameworks, platforms, and tools
  • Lead design and code reviews, mentor engineers, raise engineering standards
  • Engage with clients to translate business requirements into technical architectures and document trade-offs
  • Contribute to technical documentation and thought leadership in Generative and Agentic AI

Requisiti fondamentali

  • 8+ years in Software/Backend Engineering or similar
  • Production-grade Python (or equivalent) coding
  • Experience with LLM and Agentic AI applications (agents, orchestration, tool/function calling)
  • Strong understanding of RAG, retrieval, vector search
  • Experience with agentic frameworks (LangChain, LangGraph, MCP)
  • Testing/evaluation of non-deterministic AI systems, monitoring and observability
  • Software architecture fundamentals (APIs, distributed systems, integration patterns, production reliability)
  • Experience with at least one major cloud platform (AWS, Azure, or GCP) and cloud-native practices
  • DevOps practices including containers, CI/CD, IaC and observability
  • Ability to communicate complex concepts to technical and non-technical stakeholders
  • Fluent professional English
  • strong communication and stakeholder management
  • mentoring and technical leadership
  • client-facing delivery
  • Python or equivalent
  • LLM orchestration and AI agents
  • RAG architectures and vector-based search
Offerta di lavoro pubblicata 3 giorni fa
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