Manager, AI Engineering

Location: Lisbon or Madrid, EMEA. At least three days per week must be worked in person at a Bain home office or client location; travel beyond the primary working location is required.

Company

Bain & Company’s AI, Insights & Solutions team designs and delivers AI-powered solutions for clients, combining technology with process, operating model, and enterprise adoption changes.

What you will do

• Own the design, development, and deployment of generative AI systems and multi-agent workflows, taking end-to-end responsibility for assigned client workstreams.
• Architect AI pipelines using retrieval-augmented generation, fine-tuning, embeddings, and vector, graph, and keyword retrieval.
• Implement reasoning, tool use, function calling, orchestration, memory architectures, and scalable agentic systems.
• Drive workstreams from research and experimentation through production deployment, including APIs, microservices, CI/CD, cloud-native delivery, observability, and reliability.
• Establish GenAIOps and evaluation practices covering testing, regression evaluation, hallucination, relevance, latency, throughput, cost, and continual improvement.
• Collaborate with product, engineering, data science, ethics, infrastructure, and client stakeholders while mentoring junior engineers and contributing to technical direction.

Requirements

• 6–11+ years of experience in software engineering, ML engineering, or applied AI, including significant hands-on building experience.
• Experience shipping generative AI features or systems end to end, from prototyping through production, with ownership of one or more full workstreams.
• Track record of guiding peers, coordinating workstreams, and driving technical decisions within a team.
• Strong communication skills for explaining complex technical concepts to non-technical collaborators and client stakeholders.
• Solid prompt engineering, context engineering, and conversation design skills.
• Strong knowledge of evaluation design, experimentation frameworks, and data-labeling strategies for LLM applications.
• Experience with RAG architectures, agentic patterns, tool use, routing, memory management, ReAct, RLAIF, HITL and feedback-loop methodologies, orchestration frameworks, vector and graph databases, and model/API ecosystems.
• Strong system design, architecture, and production deployment background, including understanding of LLM cost and latency trade-offs.
• Comfort working in high-ambiguity, cross-functional environments and willingness to develop others into a technical leadership role.

Nice to have

• Hybrid or graph-based retrieval experience.
• Multi-agent systems experience.
• Client-facing consulting or enterprise transformation experience.

Culture & Benefits

• Permanent full-time employment within Bain’s Applied Technology & AI team.
• Apprenticeship-based learning with experienced teammates, frequent feedback, and increasing responsibility.
• Work on real client deployments and collaborate with major AI ecosystem partners.
• Supportive, inclusive environment focused on technical excellence, learning, and professional development.
• In-person collaboration is required at least three days per week, at a client location or Bain home office, with project-based travel.

Hiring process

• Applications must be submitted by 30 October 2026.