Expert Senior Manager, AI Engineering (Generative AI)

Location: Paris, EMEA; minimum three days per week working in person at a client location or Bain home office. Travel is required based on project needs.

Company

Bain & Company is a consulting firm whose Applied Technology & AI team designs and delivers AI-powered solutions for clients.

What you will do

• Own the design, development, and deployment of generative AI systems and multi-agent workflows across client engagements.
• Architect AI pipelines covering RAG, fine-tuning, embeddings, hybrid retrieval, reasoning, tool use, function calling, and orchestration.
• Build production-grade APIs, microservices, CI/CD pipelines, cloud-native deployments, and observability capabilities.
• Establish GenAIOps and evaluation processes for testing, regression analysis, latency, throughput, factual consistency, relevance, and cost.
• Implement guardrails, fallbacks, red-teaming, human-in-the-loop workflows, responsible AI controls, and continual model improvement.
• Partner with product, engineering, data science, ethics, infrastructure, and client stakeholders while mentoring junior engineers.

Requirements

• 6–11+ years of experience in software engineering, ML engineering, or applied AI, including significant hands-on development.
• End-to-end experience shipping generative AI features or systems from prototyping through production and owning complete workstreams.
• Emerging leadership experience guiding peers, coordinating workstreams, and driving technical decisions.
• Strong communication skills for explaining complex technical concepts to non-technical collaborators and client stakeholders.
• Strong 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, ReAct, RLAIF, human-in-the-loop methodologies, orchestration frameworks, vector and graph databases, and model/API ecosystems.
• Strong system design, architecture, and production deployment background, including LLM cost and latency tradeoffs.
• Ability to work in high-ambiguity, cross-functional environments and demonstrated interest in developing others.
• French language proficiency at C1 or higher.

Nice to have

• Experience with hybrid or graph-based retrieval, multi-agent systems, and client-facing consulting or enterprise transformation environments.

Culture & Benefits

• Permanent, full-time employment within a multidisciplinary Applied Technology & AI team.
• Work through an apprenticeship model with experienced teammates, frequent feedback, and increasing responsibility.
• Collaborate with major AI ecosystem partners on real client deployments.
• Work in an inclusive environment focused on technical excellence, learning, and professional development.
• In-person collaboration is required at least three days per week, with additional project-based travel.