Lead, AI Engineering
Core
Design, build, and ship generative AI systems and agentic solutions for clients, moving solutions from prototype to real adoption as part of integrated Bain consulting teams.
Role type
Lead AI Engineer (hands-on IC with growing influence)
Builds
End-to-end generative AI systems, multi-agent workflows, production-grade AI applications, and agentic systems
Domain
Consulting, Generative AI, Enterprise AI
Deliverable
production ML models
Required skills
Generative AI system design, Multi-agent workflow development, RAG implementation, Model fine-tuning, API and microservices development, CI/CD pipeline management, Cloud-native deployment, AI safety and guardrails implementation, Evaluation framework design, Prompt engineering
Preferred skills
Mentoring peers, Cross-functional collaboration, Technical communication
Technologies
RAG, Vector/Graph retrieval, Hybrid retrieval strategies, Function calling, Orchestration, GenAIOps, HITL workflows
Responsibilities
Design and develop multi-component AI pipelines including retrieval and fine-tuning; Implement reasoning, tool use, and orchestration across AI workflows; Build and maintain APIs, microservices, and cloud-native deployments; Support GenAIOps processes for automated testing and monitoring; Implement guardrails, red-teaming strategies, and human-in-the-loop workflows; Design evaluation frameworks for hallucination, relevance, latency, and cost; Partner with ethics and product teams to build robust, compliant AI systems.
Seniority
Lead, hands-on IC with mentoring responsibilities
