Lead Ai Engineer

Capco

Sassari

In loco

EUR 90.000 - 150.000

Tempo pieno

3 giorni fa
Candidati tra i primi
Generatore di candidature

Ottieni una risposta da questo datore di lavoro — un curriculum e una lettera di presentazione personalizzati, che corrispondono esattamente a ciò che stanno cercando.

Supera i filtri ATS

Vantaggi offerti da questo lavoro

Welfare allowance
Access to Tier 1 learning platforms

Descrizione del lavoro

Capco AI Lab seeks a Lead AI Engineer to design and deliver production-grade Generative and Agentic AI systems for financial services clients. You will guide architectures, set engineering standards, and stay hands-on to ship prototypes to production.

You will collaborate with clients and senior stakeholders to translate business needs into scalable AI architectures, mentor engineers, and influence technology choices in a growth-oriented, inclusive environment.

Competenze

  • Design end-to-end architecture for Generative and Agentic AI solutions.
  • Hands-on development to production-grade components.
  • Define engineering standards and best practices for AI apps.
  • Architect scalable, secure AI systems for performance and production readiness.
  • Evaluate and select LLMs, frameworks, platforms, and tools.
  • Lead design and code reviews, mentor engineers, raise standards.
  • Engage with clients to translate business requirements into architectures.
  • Contribute to technical documentation and thought leadership in Generative and Agentic AI.

Mansioni

  • Lead architecture design for AI solutions and guide engineering standards.
  • Collaborate with clients and stakeholders to translate requirements into architectures.
  • Mentor engineers and perform design/code reviews.
  • Hands-on development to production-grade components.
  • Evaluate LLMs and agentic frameworks for production readiness.

Conoscenze

8+ years experience
Python
LLM orchestration
Agentic AI
RAG
Vector search
LangChain
LangGraph
MCP
AWS
Azure
GCP
CI/CD
IaC
Stakeholder comms
Mentoring

Strumenti

LangChain
LangGraph
MCP
AWS
Azure
GCP
CI/CD tooling
Kubernetes

Descrizione del lavoro

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.

  • Welfare allowance
  • Access to internal and Tier 1 learning platforms
  • 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
  • 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
  • Python or equivalent
  • LLM orchestration and AI agents
  • RAG architectures and vector-based search

Lead AI Engineer • sassari, sardegna, it

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