Benefits
- 401K with company match
- Comprehensive insurance coverage including basic life, medical, dental, vision, long-term disability, and optional add‑ons
- Paid time off for vacation, sick leave, short-term disability, and family care responsibilities
- Employee Assistance Program
- Incentive compensation with eligibility for annual performance-based awards
- Eligibility for certain tax advantaged savings plans
- Flexible Work Program to accommodate individual needs
- Development programs and educational support
- Paid volunteer days
- Matching gift program
- Access to employee networks
Location: Burlington, MA (onsite). Salary: USD 52,000 - 91,000 per year. Experience: 2+ years. Education: Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field.
Responsibilities
- Design, develop, and deploy AI powered services such as copilots, agent-based workflows, and automation tools
- Build and integrate LLM based solutions using orchestration frameworks and tool calling patterns
- Implement retrieval augmented generation pipelines with 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
- Create 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
Requirements
- B.S. or M.S. in Computer Science, Engineering, Mathematics, or related field
- 2–5+ 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 with cloud platforms (Azure, AWS, or GCP)
- Experience in investment management, trading systems, or financial data platforms (preferred)
- Experience with AI agent frameworks, MCP servers, or advanced orchestration patterns (preferred)
- Experience in Agile/Scrum environments with modern SDLC practices, including secure coding standards and CI/CD (preferred)
Technologies
- Python, Java, C#, TypeScript
- Azure, AWS, GCP
- Kafka, Event Hub
- Redis, Hazelcast
- MCP servers, MCP frameworks
- Snowflake
- LLMs, RAG, vector databases
- API Management
About CRD
Charles River Development (CRD) is the FinTech division of State Street. Alongside State Street's middle and back office services, CRD's cloud‑based front office technology underpins the Alpha Platform, a leading front‑to‑back solution in the industry. CRD Engineering is transitioning to a modern, cloud‑native ecosystem leveraging Microsoft Azure, Kafka, Snowflake, and advanced AI technologies. AI Enablement is a strategic priority, blending data, engineering, and intelligent automation to redefine investment workflows and deliver client value.
About State Street
State Street is a global custodian bank and asset manager delivering technology, data, analytics, and investment services to institutional clients with a history spanning more than two centuries. The company emphasizes a great work environment, competitive benefits, flexible work options, and a commitment to inclusion, development, and social responsibility.
Disclosures
Massachusetts job disclosure: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment. Violations may result in penalties.
