Lead, AI Engineering
AI summary of the role
Lead AI Engineer role within Bain's AI, Insights & Solutions (AIS) team, designing and shipping generative AI and agentic systems for enterprise clients.
What you’ll do
- Design, build, and ship end-to-end generative AI systems and multi-agent workflows
- Build and iterate on AI pipelines including RAG, fine-tuning, embedding optimization, and hybrid retrieval
- Implement agentic systems with reasoning, tool use, and orchestration
- Build and maintain APIs, microservices, CI/CD pipelines, and cloud-native deployments
What you’ll bring
- 3–5+ years in software engineering, ML engineering, or applied AI roles
- Demonstrated experience shipping generative AI features end-to-end
- Experience with RAG architectures and agentic patterns
- Strong background in system design and production-grade deployment
Technologies
generative AI · RAG · agentic systems · fine-tuning · embedding · vector databases · graph databases · orchestration frameworks · CI/CD · cloud-native · LLM · ReAct
About Bain
Global management consulting partnership advising large enterprises and investors on strategy, performance, M&A, and AI-enabled transformation, with a distinctive results-tied, implementation-heavy model.
Bootstrapped
Employer postings · Data from · Sources