Senior AI Engineer, Enterprise Systems & Platforms

Cerebras Systems; Sunnyvale (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

Cerebras Systems is seeking an experienced AI Platform Architect to lead hands-on delivery and architecture for enterprise AI initiatives. You will collaborate across BIS, Finance, IT and Security to design end-to-end agentic solutions, establish secure data flows, and drive scalable AI workflows with confirmed patterns and controls.

You will build agents, orchestration services, and reusable components while evaluating models, platforms, and compliance requirements, enabling production-ready

Qualifications

• 8+ years in software/platform/enterprise applications.
• Strong Python and TypeScript with API and distributed-systems experience.
• Production AI systems with agents, tool use, evaluations and monitoring.
• Familiar with leading LLM platforms and agent frameworks (OpenAI, Anthropic, Gemini, LangChain).
• Security, reliability, performance, cost, observability and supportability considerations.

Responsibilities

• Design end-to-end agentic solutions and determine data-model usage.
• Build AI agents, orchestration services and reusable platform components.
• Refactor prototypes into tested, production-ready enterprise applications.
• Evaluate AI models, platform standards and adoption strategies.
• Create documentation, patterns, and coach teams on best practices for agent design and safety boundaries.
• Translate Finance, Security, SOX and SSDLC requirements into architecture and controls.

Skills

Python

TypeScript

APIs

Agent frameworks

LLM platforms

Security & compliance

Enterprise finance processes

Communication

Tools

MCP servers

NetSuite

Enterprise authentication

Job description

Cerebras Systems is seeking an experienced AI Platform Architect to lead hands-on delivery and architecture for enterprise AI initiatives. You will collaborate across BIS, Finance, IT and Security to design end-to-end agentic solutions, establish secure data flows, and drive scalable AI workflows with confirmed patterns and controls.

You will build agents, orchestration services, and reusable components while evaluating models, platforms, and compliance requirements, enabling production-ready