AI Developer, SA

State Street

Quick summary

Work type: On-site
Location: Boston, MA
Posted: 1 day ago
Closes: Sep 7, 2026
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $199k

$143k most similar roles pay here $248k

This listing doesn't post a salary. Most similar roles pay $162,562–$235,750.

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 145 open roles on FindRole.

Listed pay typically runs $120,000–$188,750 across 143 roles with salary data.

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At a glance

TL;DR · AI Developer, SA

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The AI Engineer will join Charles River Development’s FinTech division at State Street, focusing on advancing AI capabilities within the Alpha Platform and investment management solutions. This hands-on role involves designing and deploying production-grade AI systems such as copilots and agentic workflows, requiring expertise in LLMs, AI orchestration, and distributed systems. The engineer will collaborate closely with product owners and architects to embed AI into client-facing and internal workflows, ensuring scalable and secure enterprise solutions. Key responsibilities include building LLM-based solutions, implementing RAG pipelines, developing multi-agent systems, and integrating AI services with cloud platforms while maintaining performance and reliability in production environments. Essential skills encompass proficiency in Python and additional languages like Java or TypeScript, experience with cloud-native AI services, and familiarity with modern AI architectures and governance practices.

Skills

LLMs AI orchestration MCP frameworks RAG API Management Python Azure Kafka Snowflake Redis Hazelcast CI/CD Distributed caching Vector databases A2A Event-driven architectures Secure coding standards Modern AI architectures Cloud-native AI services

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.
Develop reusable AI enablement platforms and shared services for product teams.

What we're looking for

Strong expertise in LLMs, prompt engineering, and AI system design.
Experience building AI copilots, conversational interfaces, or agent-based systems.
Hands-on experience with RAG architectures, embeddings, and vector databases.
Familiarity with MCP frameworks, tool-calling patterns, and agent orchestration.
Proficiency in Python and at least one additional programming language.
Strong software engineering fundamentals including testing and CI/CD practices.
Experience delivering AI/ML-powered applications into production environments.

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