System Architect
Core
Design and build the technical foundation for a new agentic AI product that runs natively inside major enterprise ecosystems (clouds, CRMs, productivity suites) to deliver self-service decision intelligence.
Role type
Senior hands-on System Architect
Builds
A cloud-native, agentic AI solution hosted within enterprise platforms (via careerplan.io/jobs/68-006-73-276-9D-50A-system-architect-at-fetcherr)
Domain
AI/ML, Cloud Infrastructure, Enterprise Integration
Deliverable
production ML models
Required skills
System architecture, Python, Kubernetes, Azure, Infrastructure as Code (Terraform, Helm), GitOps, CI/CD, AI coding agents, ML model serving
Preferred skills
Data engineering, MLOps/LLMOps, Pricing/Decisioning systems, Platform engineering, Policy-as-code
Technologies
Python, Azure, Kubernetes, Docker, Terraform, Helm, ArgoCD, Airflow, Dagster, Ray
Responsibilities
Translate research assumptions into self-service products; Design scalable cloud-native systems on Azure; Lead coding and set technical standards; Establish an agentic SDLC with AI agents; Stand up greenfield Azure environment with IaC and GitOps; Design integration layers for enterprise ecosystems; Ship POC to production-grade platform; Set engineering culture for quality and observability.
