Lead AI Engineer - Wealth R&D, AVP

State Street

Quick summary

Work type
On-site
Location
Boston, MA
Salary
$90,000–$157,500 / yr
Posted
7 days ago
Closes
Sep 9, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $202k
This role $124k
$72k most similar roles pay here $255k

This role pays less than 97% of similar roles. Most pay $167,537–$236,900 — the shaded band above. At the midpoint, this role pays about $124k versus about $202k for comparable roles.

Based on 240 similar postings.

Employer

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 135 open roles on FindRole.

Listed pay typically runs $120,000–$188,750 across 134 roles with salary data.

Most-posted roles

View all roles at State Street

At a glance

TL;DR · Lead AI Engineer - Wealth R&D, AVP

As an Applied AI Technical Analyst at the Wealth Research & Development team, you will design and operationalize AI solutions across wealth management, exploring cutting-edge technologies like agentic and generative AI. Your day-to-day involves cleaning and analyzing data, collaborating on requirements and architecture for new solutions, and supporting proof-of-concept efforts to validate emerging technologies. You will also translate user feedback into actionable designs and lead knowledge-sharing initiatives with stakeholders. The role requires hands-on experience with Python-based ML/LLM stacks such as LangGraph, LlamaIndex, Hugging Face, and Scikit-learn, proficiency in data gathering and analysis tools like SQL and Python, and familiarity with agentic AI and conversational AI systems. Ideal candidates have a background in Computer Science or Data Science and 3+ years of experience delivering AI/ML solutions in production, particularly within the financial services domain.

What you'll do

  • Design and prototype AI solutions for wealth management.
  • Analyze data to support AI initiatives in wealth services.
  • Validate emerging technologies through proof-of-concept efforts.
  • Translate user feedback into actionable designs for AI solutions.
  • Create dashboards and presentations to share insights with stakeholders.

What we're looking for

  • Bachelor’s degree in Computer Science, Data Science, Engineering, or related field.
  • Hands-on experience with Python-based ML/LLM stacks and model deployment lifecycle management.
  • Proficiency with data gathering (SQL), analysis (Python), and application development tools.
  • Understanding of agentic AI, generative AI, conversational AI, and modern frameworks for scalable applications.
  • Knowledge of data science workflows including wrangling, analytics, and governance.

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