Lead AI Engineer, Generative AI & Agentic Systems

State Street

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Work type
On-site
Location
Sacramento, CA
Employment
Full-time
Posted
57 days ago
Freshness
Confirmed live today

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Similar $204k
$138k $258k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $161,250–$246,150.

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About State Street

State Street Corporation is one of the world''s largest custodian banks and asset managers, providing investment servicing, investment management, and investment research to institutional investors. Industry: Financial Services & Asset Custody

State Street currently has 351 open roles on FindRole.

Listed pay typically runs $115,000–$195,944 across 199 roles with salary data.

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At a glance

TL;DR · Lead AI Engineer, Generative AI & Agentic Systems

The Lead AI Engineer – Generative AI & Agentic Systems (Assistant Vice President) joins the Anti-Money Laundering Compliance Technology team to lead the design, development, and production deployment of enterprise generative AI and agentic AI solutions. This role involves building scalable data ingestion and retrieval pipelines in Databricks for structured and unstructured data while developing secure APIs, microservices, and cloud-native services on AWS. Key responsibilities include designing applications using large language models, retrieval-augmented generation, vector databases, and agent orchestration. The candidate must utilize Python, LangChain, LangGraph, and Amazon Bedrock to solve complex compliance problems. You will establish engineering standards for observability, guardrails, and evaluation methods to ensure reliable, secure, and cost-efficient performance within the specific domain of anti-money laundering technology.

What you'll do

  • Lead the end-to-end delivery of enterprise generative AI and agentic AI solutions from ideation to production.
  • Design AI applications using LLMs, RAG, vector databases, semantic search, and agent orchestration.
  • Build scalable data ingestion and transformation pipelines for structured and unstructured data in Databricks.
  • Develop secure APIs, microservices, and cloud-native services on AWS.
  • Establish reusable engineering frameworks for evaluation, observability, monitoring, tracing, and guardrails.
  • Optimize AI solutions for performance, reliability, scalability, security, and cost efficiency.
  • Provide technical leadership and mentor engineers to build the team’s AI engineering capability.

What we're looking for

  • Bachelor’s degree in computer science, Engineering, Information Systems, Data Science, or a related field, or equivalent practical experience.
  • Five or more years of technology experience.
  • At least two years of experience focused on generative AI, agentic AI, machine learning, or AI platform engineering.
  • Proven experience delivering enterprise applications from concept through production.
  • Strong programming skills in Python and experience building APIs, microservices, and distributed systems.
  • Hands-on experience developing cloud-native solutions on AWS, including Bedrock, S3, EC2, Lambda, API Gateway, ECS/EKS, IAM, and PostgreSQL.
  • Experience with Databricks, Delta Lake, data pipelines, and lakehouse architecture.
  • Experience with CI/CD, GitHub, containers, infrastructure as code, application security, monitoring, and production support.

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