AI Platform Engineer
Skills
Computer ScienceAmazon Web ServicesBedrockFoundationsHealthcareLarge Language ModelsOps
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Bachelor’s degree in computer science Engineering Information Systems or related technical discipline or equivalent experience
- Experience designing and operating shared application or platform services in an enterprise environment
- Experience with CI/CD pipelines automation and infrastructure provisioning
- Working knowledge of modern AI ML or GenAI platforms and cloud based services
- Strong understanding of operational reliability monitoring and support practices
- Experience supporting AI ML or GenAI platforms in regulated industries
- Familiarity with agent based architectures LLM model integration and AI platform patterns
- Experience with cloud cost management usage monitoring or FinOps practices
- Professional cloud or AI related certifications
Nice to have
- Innovative
- Collaborative
- Detail-oriented
- Security-minded
- Analytical
Day to day
- Build and harden the enterprise GenAI and agentic platform that enables teams to develop and run AI agents safely at scale.
- Own shared platform foundations including LLM gateway and model routing vector and knowledge base infrastructure CI/CD and IaC automation observability and cost and usage management.
- Support agent teams by troubleshooting platform deployment issues improving reliability and maintaining governance controls across environments.
- Collaborate with Security Architecture and Governance stakeholders to keep the platform scalable compliant and easy to onboard new agents and tools.