Lead AI Engineer – Generative AI & Agentic Systems (Assistant Vice President)
Core
Lead the end-to-end design, development, and production deployment of enterprise generative AI and agentic AI solutions to improve business outcomes and operational efficiency in Anti-Money Laundering (AML) Compliance.
Role type
Senior IC Lead AI Engineer (Generative AI & Agentic Systems)
Builds
Enterprise generative AI and agentic AI applications, scalable data pipelines, secure APIs, and cloud-native microservices.
Domain
Financial Services / AML Compliance / Generative AI
Deliverable
production ML models | product features
Required skills
Generative AI and agentic AI architectures, LLMs, RAG, vector databases, Python, AWS cloud-native development, Databricks/Delta Lake, API and microservices design, CI/CD, infrastructure as code, AI evaluation and guardrails
Preferred skills
Experience with LangChain, LangGraph, CrewAI, Strands, Pydantic AI, AutoGen, foundation models (Amazon Bedrock, OpenAI, Anthropic, Llama), team leadership and mentorship
Technologies
Python, AWS (Bedrock, S3, EC2, Lambda, API Gateway, ECS/EKS, IAM, PostgreSQL), Databricks, Delta Lake, LangChain, LangGraph, CrewAI, Strands, Pydantic AI, AutoGen
Responsibilities
Lead end-to-end delivery of AI solutions from ideation to production; Design AI applications using LLMs, RAG, and agent orchestration; Build scalable data ingestion and retrieval pipelines; Develop secure APIs and cloud-native services; Establish engineering frameworks, observability, and guardrails; Partner with business and compliance teams to deliver high-value use cases; Optimize solutions for performance, security, and cost; Provide technical leadership and mentor engineers.
Seniority
Senior, hands-on IC with management responsibilities