{"id":3225937,"url":"https://alion.io/job/state-street-principal-engineer-knowledge-data-rag-engineering-assistant-vice-president","title":"Principal Engineer – Knowledge, Data & RAG Engineering- Assistant Vice President","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":88,"open_postings":208,"ghost_share":0.019,"stale_share":0.38,"repost_share":0.106,"time_to_fill_p50_days":30,"computed_at":"2026-10-31T05:58:55Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"head","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":19000,"max_usd":49000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":117},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"GraphRAG","optional":false},{"name":"RAG","optional":false},{"name":"Apache Kafka","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"Copilot Studio","optional":true},{"name":"Databricks","optional":true},{"name":"dbt","optional":true},{"name":"Embeddings","optional":true},{"name":"ETL/ELT","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"LlamaIndex","optional":true},{"name":"LLMOps","optional":true},{"name":"MLFlow","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"Platform Engineering","optional":true},{"name":"Semantic Kernel","optional":true},{"name":"Semantic Search","optional":true},{"name":"Snowflake","optional":true},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2026-10-22T00:00:00Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-31T01:22:22Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"description":"Who we are looking for\nWe are looking for an experienced Architect to lead enterprise architecture for knowledge and data engineering, RAG, and Graph RAG. Experience in Agentic AI, orchestration, testing, evaluation, and governance is desirable. Working with architecture, data, AI, security, risk, product, testing, and application teams, you will turn business strategy into practical architectures, standards, roadmaps, and delivery controls. You will bring strong architectural leadership and expertise in semantic technologies, modern data platforms, and retrieval systems.\nWhy this role is important to us\nEnterprise AI depends on trusted, well-engineered, permission-aware, traceable, and continuously validated data and knowledge. This role establishes the architectural foundation that connects source systems, data pipelines, semantic models, knowledge graphs, retrieval services, models, agents, controls, testing, and business workflows. The Architect will reduce fragmented point solutions, promote reusable capabilities, guide investment decisions, and ensure that AI applications and agents retrieve reliable evidence, generate grounded responses, execute approved actions, and remain secure, observable, auditable, resilient, and compliant throughout their lifecycle.\nAbout the team - Alpha Intelligence\nAlpha Intelligence is State Street’s AI & Automation Center of Excellence for Alpha Implementations - the team rewiring how the industry’s first front-to-back platform gets delivered. We turn the deep expertise locked inside our implementation teams into engineered processes, governed knowledge and intelligent agents that cut manual effort, compress client go-live timelines and make every implementation faster and more predictable than the last.\nWe operate as one global team across the North America, EMEA, and APAC, combining process engineering, automation delivery, AI platform engineering and responsible-AI governance under a single roof. We work on real client implementations, not pilots that sit on a shelf - what we build is adopted, measured and scaled. If you want to shape how AI is applied to one of the most complex delivery landscapes in financial services, this is the team to do it in.\nWhat you will be responsible for\nOwn the enterprise architecture for Knowledge Engineering, Data Engineering, RAG and Graph RAG, Agentic AI, testing, and governance, aligning strategy, platforms, delivery, controls, and measurable outcomes.\nDefine the enterprise vision, target architecture, standards, reusable patterns, and roadmap across data, knowledge, retrieval, AI agents, testing, and governance.\nTranslate business priorities into scalable solution architectures, transition plans, investment decisions, and measurable outcomes.\nLead knowledge and data architecture, including ontologies, semantic models, knowledge graphs, metadata, lineage, data pipelines, quality, and lifecycle management.\nArchitect production-grade RAG and Graph RAG services covering ingestion, indexing, hybrid retrieval, ranking, grounding, citations, provenance, and feedback.\nEstablish testing, evaluation, and release standards for data quality, retrieval, prompts.\nEmbed testing, monitoring, traceability, rollback, and governance controls in delivery pipelines.\nLead architecture reviews, align stakeholders, and guide technical teams.\nWhat we value\nThe successful candidate will combine strategic thinking, enterprise architecture perspective, deep technical credibility, and a quality-and-risk mindset. The candidate must communicate complex architectural choices, test evidence, control requirements, risks, and trade-offs clearly to engineering teams, business stakeholders, governance forums, auditors, and senior technology leaders. We value pragmatic architecture, business-value alignment, secure-by-design and test-by-design practices, reuse, interoperability, measurable quality, transparent decision making, and continuously governed enterprise AI outcomes.\nThese skills will help you succeed in this role:\nMust-have skills\nStrong experience in enterprise architecture, technical leadership, and working with cross-functional teams.\nStrong data engineering expertise across ETL/ELT, batch and streaming pipelines, lakehouse or warehouse platforms, data quality, and DataOps.\nExpertise in designing ontologies and semantic models and implementing end-to-end RAG and Graph RAG pipelines, including ingestion, chunking, embeddings, indexing, hybrid retrieval, semantic search, graph traversal, ranking, grounding, provenance, and evaluation.\nStrong knowledge of Responsible AI, privacy, access control, model risk, auditability, regulatory compliance, and policy enforcement.\nExperience delivering solutions in financial services or another regulated industry.\nNice-to-have skills\nExposure to modern data, streaming, workflow, monitoring, vector database, and enterprise search tools such as Snowflake, Databricks, Kafka, dbt, or Airflow would be useful.\nFamiliarity with AI platforms or frameworks such as Azure AI Foundry, Copilot Studio, Vertex AI, LangChain, LangGraph, LlamaIndex, Semantic Kernel, or MLflow would be beneficial.\nAwareness of Model Context Protocol, connecting AI agents with tools, access controls, monitoring, and AI security would be helpful.\nExperience establishing automated testing, quality gates, monitoring, traceability, release, and rollback controls within CI/CD and MLOps/LLMOps.\nAn understanding of cloud costs, capacity planning, and communicating architecture proposals to senior stakeholders would be useful.\nRelevant certifications in architecture, cloud, data, graph, testing, security, governance, or Generative AI would be a plus.\nEducation & Preferred Qualifications\nA bachelor’s degree in Computer Science, Engineering, Artificial Intelligence, Data Engineering, Information Systems, or a related field is preferred; a master’s degree would be a plus.\nExtensive technology experience, ideally including architecture, data or knowledge engineering, software or AI engineering, testing, governance, or enterprise platforms.\nExperience providing architectural guidance and contributing to standards, roadmaps, governance, and key design decisions would be valuable.\nExposure to delivering secure, scalable, and well-governed data platforms, knowledge graphs, ontologies, RAG or Graph RAG services, Agentic AI, or Generative AI solutions would be beneficial.\nThe ability to work with senior stakeholders and bring business, architecture, engineering, testing, cloud, security, risk, and operations teams together would be helpful.\nRelevant certifications in architecture, cloud, data, graph, testing, security, governance, or Generative AI would be a plus.\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","description_format":"text","description_chars":7916,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Flexible schedule"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Asset Management & Funds","Custody & Fund Administration"],"lifecycle":[{"event":"open","at":"2026-10-25T05:49:15Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":9,"expected_fill_days":30,"reasons":["conf:4","velocity","win:early","comp:brand"],"computed_at":"2026-10-31T05:58:55Z"},"pay":null,"html_url":"https://alion.io/job/state-street-principal-engineer-knowledge-data-rag-engineering-assistant-vice-president","json_url":"https://alion.io/job/state-street-principal-engineer-knowledge-data-rag-engineering-assistant-vice-president.json","meta":{"generated_at":"2026-10-31T13:16:59Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":20579,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-01T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1806},"rest":"https://alion.io/mcp/rest/get_company?id=1806"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fstate-street-principal-engineer-knowledge-data-rag-engineering-assistant-vice-president"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fstate-street-principal-engineer-knowledge-data-rag-engineering-assistant-vice-president"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fstate-street-principal-engineer-knowledge-data-rag-engineering-assistant-vice-president"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/state-street-principal-engineer-knowledge-data-rag-engineering-assistant-vice-president\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fstate-street-principal-engineer-knowledge-data-rag-engineering-assistant-vice-president"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3225937}},{"tool":"search_jobs","arguments":{"company":"statestreet.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3225937},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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