Senior Engineer - Agentic AI - Assistant Manager
State Street4 days ago
Hyderābād, IndiaSenior / Staff+
Responsibilities
- Design, develop, and integrate AI agents with enterprise APIs, applications, tools, data sources, knowledge repositories, and workflow services.
- Build reusable single-agent and multi-agent workflows with planning, routing, memory, state management, tool calling, retries, checkpointing, and failure recovery.
- Establish agent evaluation, observability, regression testing, execution tracing, quality metrics, and production monitoring.
- Implement human-in-the-loop approvals, guardrails, structured evaluation, responsible execution controls, and governance for sensitive or irreversible actions.
- Configure and integrate AWS Bedrock Agents, Guardrails, foundation models, and equivalent cloud-native agent services.
- Package and deploy agent services using containers, serverless patterns, infrastructure as code, CI/CD pipelines, and enterprise cloud security controls.
- Apply responsible AI, privacy, access-control, auditability, model-risk, and AI-governance requirements across the product lifecycle.
- Design ontologies and knowledge graphs, including graph modeling, ingestion, entity and relationship enrichment, lineage, provenance, and semantic validation.
- Build Python APIs and RAG or GraphRAG components involving document processing, hybrid retrieval, graph traversal, grounding, citations, testing, troubleshooting, and performance tuning.
- Collaborate with architects, engineers, product owners, delivery teams, business stakeholders, and senior technology leaders on complex technical implementations.
Requirements
- Bachelor's degree in computer science, engineering, artificial intelligence, data science, information systems, or a related discipline; a master's degree is preferred but not required.
- 7 to 12 years of overall technology experience in software engineering, data engineering, AI engineering, knowledge engineering, or enterprise platform development.
- At least 3 years of hands-on experience developing or supporting enterprise data, semantic, graph, search, knowledge, or AI solutions.
- Experience developing or integrating AI agents with enterprise APIs, tools, data sources, knowledge repositories, and workflow services.
- Experience with agent frameworks such as LangChain, LangGraph, LlamaIndex, or Semantic Kernel and with LangSmith or equivalent AI evaluation tools.
- Experience with agent orchestration, tool or function calling, agent memory, planning, routing, state management, guardrails, human-in-the-loop controls, and structured evaluation.
- Experience with AWS Bedrock Agents, Guardrails, foundation-model integrations, or equivalent cloud-native agent services.
- Experience with containerization, serverless deployment, infrastructure as code, enterprise cloud security, monitoring, troubleshooting, and production support.
- Knowledge of responsible AI, data privacy, access controls, auditability, model risk, and AI governance in regulated environments.
- Preferred experience with enterprise graph platforms such as Neo4j, Amazon Neptune, or Graph DB; Cypher or SPARQL; ontology and semantic modeling; RAG or GraphRAG; and graph enrichment and provenance.
- Strong Python programming skills, including REST API or microservice development, error handling, automated testing, and production-quality code.
- Proven experience delivering Knowledge Graph, Ontology, RAG, GraphRAG, Agentic AI, or Generative AI solutions from design through production implementation.
- Strong analytical, problem-solving, documentation, communication, presentation, and cross-functional collaboration skills.
Benefits
- Flexible work-life support is provided.
- Employees receive paid volunteer days.
- Vibrant employee networks provide opportunities to stay connected and engaged.
- The company offers inclusive development opportunities.
Categories
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.