Senior AI Developer

State Street

Quick summary

Work type: On-site
Location: Burlington, MA
Salary: $120,000–$202,500 / yr
Posted: 3 days ago
Closes: Sep 7, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $198k

This role $161k

$106k most similar roles pay here $252k

This role pays less than 72% of similar roles. Most pay $158,637–$237,800 — the shaded band above. At the midpoint, this role pays about $161k versus about $198k 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 132 open roles on FindRole.

Listed pay typically runs $120,000–$180,000 across 129 roles with salary data.

Most-posted roles

View all roles at State Street

At a glance

TL;DR · Senior AI Developer

Role Posting Log in to save

The AI Developer at Charles River Investment Management will join a dynamic team to design and build scalable AI systems, including copilots and automation services, embedded in investment management processes. This hands-on role involves developing LLM-based solutions, implementing RAG pipelines with vector databases, and integrating multi-agent systems using MCP frameworks. The candidate will collaborate closely with product owners and architects to operationalize AI across client-facing workflows, ensuring secure, governed production-ready capabilities. Key skills include proficiency in Python and experience with cloud-native AI services, API-driven architectures, and distributed caching technologies. This role requires expertise in LLMs, prompt engineering, and responsible AI practices, as well as a strong background in software engineering fundamentals and agile development methodologies.

Skills

LLMs AI orchestration MCP frameworks RAG API Management Python Azure Kafka Snowflake Redis Hazelcast CI/CD Distributed systems Vector databases A2A Event-driven architectures Secure coding standards Agile/Scrum SDLC

What you'll do

Design, develop, and deploy AI-powered services including copilots and automation tools.
Build LLM-based solutions using orchestration frameworks and tool-calling patterns.
Implement RAG pipelines with enterprise data sources and vector databases.
Embed AI capabilities into core investment management workflows across processes.
Ensure performance, scalability, and reliability of AI systems in production environments.

What we're looking for

Strong expertise in LLMs, AI system design, and prompt engineering.
Experience building AI copilots, conversational interfaces, and agent-based systems.
Hands-on experience with RAG architectures, embeddings, vector databases, and distributed caching.
Proficiency in Python and at least one additional language (Java, C#, or TypeScript).
Familiarity with cloud-native AI services, microservices, event streaming, and API-driven architectures.
Strong software engineering fundamentals including testing, CI/CD, code quality, and design patterns.
Experience delivering AI/ML-powered applications into production environments.

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