Agentic AI Engineer, AVP
Core
Design, build, and evolve enterprise-grade Agentic AI platforms and solutions supporting investment management, research, performance, and daily operations.
Role type
Senior IC Agentic AI Engineer (AVP)
Builds
Production-grade Agentic AI solutions, multi-agent workflows, RAG systems, and reusable AI components for financial analytics and document processing.
Domain
Financial Services / Investment Management / Generative AI
Deliverable
production ML models
Required skills
Python, Agentic AI frameworks (LangGraph, LangChain, AutoGen, CrewAI), RAG implementation, vector search, LLM integration, distributed systems, cloud platforms (AWS, Azure, GCP), CI/CD, data governance, prompt engineering, evaluation frameworks
Preferred skills
Asset management domain knowledge, natural-language-to-SQL, Lakehouse technologies (Apache Iceberg, Spark, Snowflake), responsible AI controls, AI-assisted development tools
Technologies
LangGraph, LangChain, LlamaIndex, AutoGen, CrewAI, Semantic Kernel, Azure AI Foundry, AWS Bedrock, SageMaker, Databricks, Snowflake, PostgreSQL, Apache Iceberg, Spark
Responsibilities
Develop multi-agent solutions for decomposing complex business questions and invoking tools; Design and implement RAG solutions using structured and unstructured enterprise data; Integrate LLMs with enterprise applications, databases, and APIs; Build reusable Agentic AI components and patterns; Establish engineering standards for prompt versioning, memory, and tool permissions; Implement comprehensive evaluation frameworks for answer quality and safety; Design solutions with identity, authentication, and audit controls; Partner with platform engineering on infrastructure and deployment; Collaborate with data engineering on governed data ingestion and Lakehouse integration; Mentor engineers and contribute to best practices
Seniority
Senior, hands-on IC with architectural judgment
