{"id":171429,"url":"https://alion.io/job/state-street-ai-developer-sa","title":"AI Developer, Senior Associate","company":{"id":1806,"name":"State Street","domain":"statestreet.com","url":"https://alion.io/company/state-street","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":97,"open_postings":334,"ghost_share":0.015,"stale_share":0.237,"repost_share":0.048,"time_to_fill_p50_days":21,"computed_at":"2026-10-16T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Burlington, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":52000,"max":91000,"currency":"USD","period":"year","gross":null,"usd_annual":91000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Azure","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"Embeddings","optional":false},{"name":"Hazelcast","optional":false},{"name":"Java","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Redis","optional":false},{"name":"Tool Use","optional":false},{"name":"TypeScript","optional":false},{"name":"Agentic Workflows","optional":true},{"name":"AWS","optional":true},{"name":"GCP","optional":true},{"name":"Scrum","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-06-17T00:00:00Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-10-16T13:57:50Z","board_verified":true,"closed_at":null,"days_open":121,"trust":{"level":"ghost","repost_count":2,"flags":["stale","repost"],"days_open":121},"description":"AIDeveloper, Senior Associate\nWho we are looking for\nThe 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.\nTo 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.\nWhy this role is important to us\nEnables Scalable AI Adoption: Builds reusable platforms and services that allow product teams to rapidly integrate AI without fragmentation\n\nDrives Business Impact: Embeds AI into front-to-back workflows, improving productivity, automation, and decision-making for clients\n\nBridges Innovation and Production: Converts emerging AI technologies into secure, governed, production-ready capabilities\n\nAccelerates Time-to-Market: Enables faster delivery of high-value AI use cases through standardarchitectureand tooling\n\nWhat you will be responsible for\nDesign, develop, and deployAI-powered services, including copilots, agent-based workflows, and automation tools\n\nBuild and integrateLLM-based solutions using orchestration frameworks and tool-calling patterns\n\nImplementRAG pipelines using enterprise data sources and vector databases\n\nDevelop and integratemulti-agent systems using MCP servers, APIs, andA2Abased tooling\n\nEmbed AI capabilities intocore CRD and Alpha workflows across front, middle, and back-office processes\n\nBuild reusableAI enablement platforms, SDKs, and shared services for product teams\n\nIntegrate AI services withcloud platforms and enterprise systems\n\nExpose AI capabilities throughAPI Management layers and event-drivenarchitectures\n\nEnsureperformance, scalability, and reliability of AI systems in production environments\n\nImplementmonitoring, evaluation, and observability for AI models and pipelines\n\nApply responsible AI practices (security, explainability, compliance, governance)\n\nCollaborate with product, architecture, data science, and UX teams to deliver end-to-end solutions\n\nParticipate in agile development processes including sprint planning, code reviews, and retrospectives\n\nWhat we value\nStrong expertise inLLMs, prompt engineering, and AI system design\n\nExperience buildingAI copilots, conversational interfaces, or agent-based systems\n\nHands-on experience withRAGarchitectures, embeddings, and vector databases\n\nFamiliarity withMCP frameworks, tool-calling patterns, and agent orchestration\n\nExperience with cloud-native AI services (Azure preferred) and distributed architectures\n\nProficiency in Python and at least one additional language (Java, C#, or TypeScript)\n\nExperience with API-drivenarchitectures, microservices, and event streaming (Kafka, Event Hub)\n\nKnowledge of distributed caching (Redis,Hazelcast) and performance optimization patterns\n\nStrong software engineering fundamentals: testing, CI/CD, code quality, and design patterns\n\nFamiliarity withAI governance, model risk management, and security best practices\n\nAbility to work acrossstrategic and hands-on engineering tasks\n\nStrong collaboration and communication skills in cross-functional environments\n\nEducation & Preferred Qualifications\nB.S. or M.S. in Computer Science, Engineering, Mathematics, or related field\n\n0-3+ years of software engineering experience, with a focus on building scalable systems\n\nExperience deliveringAI/ML-powered applications into production\n\nStrong understanding of modern AI architectures (LLMs, RAG, APIs, orchestration layers)\n\nExperience working with cloud platforms (Azure, AWS, or GCP)\n\nPreferred:\n\nExperience ininvestment management, trading systems, or financial data platforms\n\nExperience withAI agent frameworks, MCP servers, or advanced orchestration patterns\n\nExperience working withinAgile/Scrum teams following modernSDLC practices, including secure coding standards,CI/CD\n\nAbout CRD\nCharles 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.\nOur 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.\nAs 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.\nSalary Range:\n$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.\nEmployees 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.\nFor a full overview, visit https://hrportal.ehr.com/statestreet/Home.\nAbout State Street\nAcross the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.\nWe are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.\nAs 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.\nDiscover more information on jobs at StateStreet.com/careers\nRead our CEO Statement\nJob Application Disclosure:\nIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. 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