Sr. AI Developer, VP

State Street; Burlington (MA); On-site; USD 120,000 - 202,500; Full time

Benefits offered by this job

401K retirement plan with company match

Medical, dental, and vision insurance

Paid time off including vacation and sick leave

Job summary

State Street in Burlington, Massachusetts is seeking an AI Engineer to enhance AI capabilities across investment management solutions. The role involves designing and deploying AI systems and collaborating closely with product teams. Candidates should have strong expertise in LLMs, orchestration, and a solid background in software engineering.

Preferred qualifications include a B.S. or M.S. in a related field and experience delivering AI applications into production. The position offers a salary ranging from $120,000 to $202,500 annual, along with comprehensive benefits.

Qualifications

• 5-8+ years of software engineering experience, focusing on scalable systems.
• Experience delivering AI/ML-powered applications into production.
• Strong understanding of modern AI architectures (LLMs, RAG).

Responsibilities

• Design, develop, and deploy AI-powered services including copilots and automation tools.
• Build and integrate LLM-based solutions using orchestration frameworks.
• Implement RAG pipelines using enterprise data sources.

Skills

Expertise in LLMs

Prompt engineering

AI system design

Proficiency in Python

Collaboration skills

Education

B.S. or M.S. in Computer Science, Engineering, Mathematics, or related field

Tools

Azure

Kafka

Redis

Job description

Who We Are Looking For

The AI Engineer will play a key role in advancing AI-enabled capabilities across the Charles River Investment Management Solution and Alpha Platform. This individual will design, build, and scale production‑grade AI systems, including copilots, agentic workflows, and automation services embedded directly into investment management processes. To be successful, the candidate must be a hands‑on engineer with strong experience in LLMs, AI orchestration, and distributed systems, capable of translating emerging AI patterns (e.g., RAG, agent frameworks, MCP integration) into secure, scalable enterprise solutions. This role requires close collaboration with product owners, architects, and domain teams to operationalize AI across client‑facing and internal workflows.

Why this role is important to us

• Enables Scalable AI Adoption: Builds reusable platforms and services that allow product teams to rapidly integrate AI without fragmentation
• Drives Business Impact: Embeds AI into front‑to‑back workflows, improving productivity, automation, and decision‑making for clients
• Bridges Innovation and Production: Converts emerging AI technologies into secure, governed, production‑ready capabilities
• Accelerates Time‑to‑Market: Enables faster delivery of high‑value AI use cases through standard architecture and tooling

What You Will Be Responsible For

• Design, develop, and deploy AI‑powered services, including copilots, agent‑based workflows, and automation tools
• Build and integrate LLM‑based solutions using orchestration frameworks and tool‑calling patterns
• Implement RAG pipelines using enterprise data sources and vector databases
• Develop and integrate multi‑agent systems using MCP servers, APIs, and A2A based tooling
• Embed AI capabilities into core CRD and Alpha workflows across front, middle, and back‑office processes
• Build reusable AI enablement platforms, SDKs, and shared services for product teams
• Integrate AI services with cloud platforms and enterprise systems
• Expose AI capabilities through API Management layers and event‑driven architectures
• Ensure performance, scalability, and reliability of AI systems in production environments
• Implement monitoring, evaluation, and observability for AI models and pipelines
• Apply responsible AI practices (security, explainability, compliance, governance)
• Collaborate with product, architecture, data science, and UX teams to deliver end‑to‑end solutions
• Participate in agile development processes including sprint planning, code reviews, and retrospectives

What We Value

• 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
• Experience with cloud‑native AI services (Azure preferred) and distributed architectures
• Proficiency in Python and at least one additional language (Java, C#, or TypeScript)
• Experience with API‑driven architectures, microservices, and event streaming (Kafka, Event Hub)
• Knowledge of distributed caching (Redis, Hazelcast) and performance optimization patterns
• Strong software engineering fundamentals: testing, CI/CD, code quality, and design patterns
• Familiarity with AI governance, model risk management, and security best practices
• Ability to work across strategic and hands‑on engineering tasks
• Strong collaboration and communication skills in cross‑functional environments

Education & Preferred Qualifications

• B.S. or M.S. in Computer Science, Engineering, Mathematics, or related field
• 5‑8+ years of software engineering experience, with a focus on building scalable systems
• Experience delivering AI/ML‑powered applications into production
• Strong understanding of modern AI architectures (LLMs, RAG, APIs, orchestration layers)
• Experience working with cloud platforms (Azure, AWS, or GCP)
• Preferred: Experience in investment management, trading systems, or financial data platforms
• Preferred: Experience with AI agent frameworks, MCP servers, or advanced orchestration patterns
• Preferred: Experience working within Agile/Scrum teams following modern SDLC practices, including secure coding standards, CI/CD

Salary Range

$120,000 – $202,500 Annual. The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location, the applicable range could differ.

Benefits

Employees are eligible to participate in State Street’s comprehensive benefits program, which includes a retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long‑term disability; paid‑time off including vacation, sick leave, short‑term disability, and family care responsibilities; access to an Employee Assistance Program; incentive compensation including eligibility for annual performance‑based awards; and eligibility for certain tax‑advantaged savings plans.

Equal Opportunity Employer

State Street is an equal opportunity and affirmative action employer. As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.