Senior Agentic AI Engineer (VP)
Core
Architect, govern, and deploy production-ready generative and agentic AI systems for a global financial institution to advance automation and operational efficiency.
Role type
Senior IC Agentic AI Engineer
Builds
Agentic workflows, multi-agent systems, RAG pipelines, knowledge graphs, and GenAI applications for the Controls Technology platform.
Domain
Financial Technology / Generative AI / Agentic AI
Deliverable
production ML models
Required skills
Generative AI (LLMs, embeddings, context engineering), Agentic AI (multi-agent orchestration, agent harnesses), RAG (hybrid search, multi-vector retrieval), Knowledge Graphs (Graph RAG), Agent protocols (MCP, A2A), Python, Vector databases, Cloud infrastructure (AWS), Containerization (Docker, Kubernetes)
Preferred skills
Google Agent Development Kit (ADK), LangGraph, CrewAI, OpenAI Agents SDK, NLP (NER, topic modeling), Agent observability (OpenTelemetry)
Technologies
Google ADK, LangGraph, CrewAI, OpenAI Agents SDK, Neo4j, ArangoDB, LangChain, LlamaIndex, OpenTelemetry, Docker, Kubernetes, AWS
Responsibilities
Design and implement agentic workflows and multi-agent systems; Architect advanced context engineering strategies; Build and optimize RAG systems; Design knowledge graphs and Graph RAG architectures; Integrate agents with tools via MCP and A2A protocols; Mentor junior team members and foster technical excellence.
Seniority
Senior, hands-on IC
