AI Engineer

Role Description

We are looking for a Lead Engineer, Generative AI & ML Engineering for the Operational Intelligence Program within B&MI. This role will lead a team of Gen AI engineers to architect and deliver next-generation LLM, agentic, and multimodal AI systems that enable business growth, elevate customer experience, and ensure secure, scalable, production-grade AI. As a technical leader, you will set the engineering standard for Gen AI development — driving innovation across agentic orchestration, retrieval-augmented generation, LLMOps, and responsible AI — while fostering a culture of continuous learning and engineering excellence.

• Architect and lead the development of multi-agent AI systems using frameworks such as LangGraph, CrewAI, and AutoGen.
• Design and operationalize multimodal generative AI pipelines that unify text, image, tabular, and graph data using transformer-based architectures.
• Build production-grade RAG and Graph-RAG systems integrating vector databases and knowledge graphs.
• Lead LLM fine-tuning, prompt engineering, and model alignment strategies.
• Establish robust LLMOps and MLOps pipelines on Databricks using MLflow.
• Develop high-performance Python backend services for LLM inference orchestration.
• Engineer state, memory, and context management subsystems.
• Implement Responsible AI and AI governance practices.
• Apply traditional ML and statistical modeling in hybrid architectures alongside LLMs.
• Continuously research, evaluate, and productionize advancements in generative modeling and agentic AI.

Qualifications

• Master's or Bachelor's degree in Computer Science, AI/ML, or Engineering.
• Significant hands-on experience leading and delivering complex Gen AI or ML engineering programs in production environments.
• Expert-level, hands-on experience designing, building, and deploying large language model (LLM) applications.
• Deep proficiency with LLM ecosystems: OpenAI, Anthropic, Gemini, Hugging Face, LangChain/LangGraph.
• Strong command of Gen AI engineering patterns.
• Solid applied knowledge of ML fundamentals.
• Excellent Python engineering skills including async programming and API development.
• Hands-on experience with cloud AI infrastructure and familiarity with MLOps/LLMOps tooling.
• Strong analytical, communication, and stakeholder management skills.

Requirements

• Ability to translate complex Gen AI concepts into business value.
• Lead cross-functional teams toward delivery.

Benefits

• Insurance (including medical, prescription drug, dental, vision, disability, life insurance).
• Flexible spending account and health savings account.
• Paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave).
• 80 hours of Paid Sick and Safe Time.
• 25 days of vacation time and 5 personal days, pro-rated based on date of hire.
• 10 annual paid U.S. observed holidays.
• 401k with a best-in-class company match.
• Deferred compensation for eligible roles.
• Fitness reimbursement or on-site fitness facilities.
• Eligibility for tuition reimbursement.
• 56 hours of Paid Sick and Safe Time for interns.
• Jury duty leave for interns.
• On-site fitness facilities in some locations for interns.