Senior AI Engineer, Agentic Systems & Runtime Architecture
Core
Design, build, and operate production agentic AI systems including multi-agent research assistants that deliver cited, grounded answers via conversational experiences and programmatic APIs.
Role type
Senior IC AI Engineer (Agentic Systems & Runtime Architecture)
Builds
Production-grade multi-agent workflows, retrieval architectures, and runtime observability for financial research assistants.
Domain
Financial services / Agentic AI / LLM Operations
Deliverable
production ML models
Required skills
Multi-agent orchestration (planner/supervisor), advanced retrieval (hybrid + reranking), AgentOps/LLMOps, agentic security controls, production telemetry/debugging, Python, prompt architecture management
Preferred skills
Databricks, Azure Foundry, regulated environment experience
Technologies
Python, MCP, A2A, OpenTelemetry, AgentOps
Responsibilities
Architect multi-agent workflows with state management and routing; design retrieval architectures for research assistants; establish evaluation gates for agent behavior; implement security controls against prompt injection; build observability and define SLIs/SLOs; manage reliability outcomes and incident response.
Seniority
Senior, hands-on IC