AI DeveloperThe 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 usEnables Scalable AI Adoption: Builds reusable platforms and services that allow product teams to rapidly integrate AI without fragmentationDrives Business Impact: Embeds AI into front-to-back workflows, improving productivity, automation, and decision-making for clientsBridges Innovation and Production: Converts emerging AI technologies into secure, governed, production-ready capabilitiesAccelerates Time-to-Market: Enables faster delivery of high-value AI use cases through standard architecture and toolingWhat you will be responsible forDesign, develop, and deploy AI-powered services, including copilots, agent-based workflows, and automation toolsBuild and integrate LLM-based solutions using orchestration frameworks and tool-calling patternsImplement RAG pipelines using enterprise data sources and vector databasesDevelop and integrate multi-agent systems using MCP servers, APIs, and A2A based toolingEmbed AI capabilities into core CRD and Alpha workflows across front, middle, and back-office processesBuild reusable AI enablement platforms, SDKs, and shared services for product teamsIntegrate AI services with cloud platforms and enterprise systemsExpose AI capabilities through API Management layers and event-driven architecturesEnsure performance, scalability, and reliability of AI systems in production environmentsImplement monitoring, evaluation, and observability for AI models and pipelinesApply responsible AI practices (security, explainability, compliance, governance)Collaborate with product, architecture, data science, and UX teams to deliver end-to-end solutionsParticipate in agile development processes including sprint planning, code reviews, and retrospectivesWhat we valueStrong expertise in LLMs, prompt engineering, and AI system designExperience building AI copilots, conversational interfaces, or agent-based systemsHands-on experience with RAG architectures, embeddings, and vector databasesFamiliarity with MCP frameworks, tool-calling patterns, and agent orchestrationExperience with cloud-native AI services (Azure preferred) and distributed architecturesProficiency 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 patternsStrong software engineering fundamentals: testing, CI/CD, code quality, and design patternsFamiliarity with AI governance, model risk management, and security best practicesAbility to work across strategic and hands-on engineering tasksStrong collaboration and communication skills in cross-functional environmentsEducation & Preferred QualificationsB.S. or M.S. in Computer Science, Engineering, Mathematics, or related field2 – 5+ years of software engineering experience, with a focus on building scalable systemsExperience delivering AI/ML-powered applications into productionStrong 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 platformsExperience with AI agent frameworks, MCP servers, or advanced orchestration patternsExperience working within Agile/Scrum teams following modern SDLC practices, including secure coding standards, CI/CDAbout CRDCharles River Development (CRD) is the FinTech division of State Street.
Together with State Street's middle- and back-office services, Charles River's cloud-based front-office technology forms the foundation of the State Street Alpha® Platform - the first front-to-back solution in the industry.Our vision is to be the world's leading investment platform, driving innovation, resiliency, and growth for investment firms globally. CRD Engineering is transforming the platform into a modern, cloud-native ecosystem leveraging Microsoft Azure, Kafka, Snowflake, and advanced AI technologies.As part of this transformation, AI Enablement is a strategic priority - bringing together data, engineering, and intelligent automation to redefine investment workflows and deliver measurable client value.About State StreetState Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation we're making our mark on the financial services industry. For more than two centuries, we've been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.Work, Live and Grow.
We make all efforts to create a great work environment. Our benefits packages are competitive and comprehensive. Details vary in locations, but you may expect generous medical care, insurance and savings plans among other perks. You'll have access to flexible Work Program to help you match your needs. And our wealth of development programs and educational support will help you reach your full potential.Inclusion, Diversity and Social Responsibility.
We truly believe our employees' diverse backgrounds, experiences and perspective are a powerful contributor to creating an inclusive environment where everyone can thrive and reach their maximum potential while adding value to both our organization and our clients. We warmly welcome the candidates of diverse origin, background, ability, age, sexual orientation, gender identity and personality. Another fundamental value at State Street is active engagement with our communities around the world, both as a partner and a leader. You will have tools to help balance your professional and personal life, paid volunteer days, matching gift program and access to employee networks that help you stay connected to what matters to you.State Street is an equal opportunity and affirmative action employer.Discover more at StateStreet.com/careersSalary Range:$52,000 - $91,000 AnnualThe range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.For a full overview, visit