Principal AI Systems Engineer- Agentic and Productivity Systems
Core
Design, orchestrate, and operationalize agent-based systems for engineering workflows including CI diagnostics, code review automation, and autonomous debugging within the Creative Cloud ecosystem.
Role type
Senior AI Systems Engineer (Agentic and Productivity Systems)
Builds
AI-native engineering capabilities, reusable orchestration layers, and production-grade services for developer tooling and operational diagnostics.
Domain
Software Engineering / AI Infrastructure / Developer Productivity
Deliverable
production ML models | infrastructure
Required skills
Systems engineering, distributed systems, LLM integration, observability, cost optimization, multi-model routing
Preferred skills
Agent frameworks (LangGraph, AutoGen, CrewAI), embeddings, vector databases, RAG architectures, CI/CD platforms
Technologies
Python, Go, TypeScript, AWS Bedrock, Anthropic, OpenAI
Responsibilities
Design and prototype agent-based systems for engineering workflows; Build reusable orchestration layers and service architectures; Convert experimental workflows into secure, scalable production-grade services; Define internal standards for AI experimentation and evaluation; Partner with DevEx and platform teams to embed AI-native capabilities.
Seniority
Senior, hands-on IC
