Principal Engineer – Knowledge, Data & RAG Engineering- Assistant Vice President
State Street2 days ago
Hyderābād, IndiaStaff+
Responsibilities
- Own enterprise architecture for Knowledge Engineering, Data Engineering, RAG, Graph RAG, Agentic AI, testing, and governance.
- Define enterprise visions, target architectures, standards, reusable patterns, roadmaps, transition plans, and investment decisions.
- Lead architecture for ontologies, semantic models, knowledge graphs, metadata, lineage, data pipelines, data quality, and lifecycle management.
- Architect production-grade RAG and Graph RAG services covering ingestion, chunking, indexing, embeddings, hybrid retrieval, ranking, grounding, citations, provenance, and feedback.
- Establish testing, evaluation, release, monitoring, traceability, rollback, and governance standards and controls.
- Lead architecture reviews, align cross-functional stakeholders, and guide technical teams and senior technology leaders.
Requirements
- Strong experience in enterprise architecture, technical leadership, and cross-functional collaboration.
- Strong data engineering expertise across ETL/ELT, batch and streaming pipelines, lakehouse or warehouse platforms, data quality, and DataOps.
- Expertise designing ontologies and semantic models and implementing end-to-end RAG and Graph RAG pipelines.
- Strong knowledge of Responsible AI, privacy, access control, model risk, auditability, regulatory compliance, and policy enforcement.
- Experience delivering solutions in financial services or another regulated industry.
- Experience with or exposure to modern data, streaming, workflow, monitoring, vector database, enterprise search, AI platform, and AI framework technologies is useful.
- Experience establishing automated testing, quality gates, monitoring, traceability, release, and rollback controls within CI/CD and MLOps/LLMOps.
- Understanding of cloud costs and capacity planning, plus the ability to communicate architecture proposals and trade-offs to senior stakeholders.
- A bachelor’s degree in Computer Science, Engineering, Artificial Intelligence, Data Engineering, Information Systems, or a related field is preferred; a master’s degree and relevant certifications would be a plus.
- Extensive technology experience involving architecture, data or knowledge engineering, software or AI engineering, testing, governance, or enterprise platforms.
- Experience contributing to standards, roadmaps, governance, and key design decisions is valuable.
Benefits
- Inclusive development opportunities, flexible work-life support, paid volunteer days, and employee networks.
- The role is part of a global team operating across North America, EMEA, and APAC.
- Work focuses on real client implementations whose solutions are adopted, measured, and scaled.
Tech Stack
Categories
AI ApplicationsData Engineering
About State Street
State Street is a global custodian bank and asset manager serving institutional investors with investment servicing, fund accounting, trading/FX, data, and index/active strategies. Its products include State Street Global Advisors’ funds and ETFs, the Charles River Investment Management Solution, and the front-to-back State Street Alpha platform. Founded in 1792 and headquartered in Boston, the company is publicly traded on the NYSE (ticker: STT) and operates across major markets worldwide.