Staff AI Engineer, AI DLC Platform
Core
Build and own the platform layer that takes AI-generated code from Harness and makes it production-grade, safe, and deployable into RBC AI platforms, defining boundaries between production code and agents.
Role type
Staff AI Engineer (AI Platform & Infrastructure)
Builds
Pipelines, runtime infrastructure, and standards for trustworthy AI delivery at scale.
Domain
Financial Services / AI Engineering
Deliverable
production ML models
Required skills
Agent Frameworks (LangGraph, CrewAI, AutoGen), Data & Tool Integration (FastAPI, gRPC, MCP), CI/CD & Infrastructure (Docker, Kubernetes, IaC), Automated Testing & QA, Spec-Driven Development, Governance & Security
Preferred skills
Communication, Project Management, Financial Services Industry Knowledge
Technologies
Harness, Helios, LangGraph, CrewAI, AutoGen, FastAPI, gRPC, Model Context Protocol (MCP), Docker, Kubernetes
Responsibilities
Build and own the code promotion pipeline from Harness validation to Helios deployment; Ensure AI-generated code is auditable and reproducible; Establish coding standards for AI-assisted development; Work with risk and governance teams to codify boundaries into policy; Build and operate the runtime infrastructure for AI-generated code and agents; Own the deployment platform (containerization, orchestration, secrets management, scaling, observability); Engineer reliability (circuit breakers, graceful degradation, rollback); Build monitoring and alerting to distinguish failure modes.