Staff AI Engineer: Enterprise Platform Architect

Cerebras; Sunnyvale (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Cerebras Systems builds the world's largest AI chip and delivers industry-leading training and inference speeds. This role focuses on hands-on delivery, architecture, and governance across BIS, Finance, and IT, driving enterprise-ready AI solutions with secure data flows and scalable patterns.

You will design agentic architectures, evaluate models, and guide adoption across finance and compliance domains while partnering with engineers and executives to ensure reliable, secure deployments.

Qualifications

• 8+ years in software, platform, integration, solution engineering or enterprise applications.
• Strong Python and/or TypeScript skills; experience with APIs, MCP or comparable tool protocols, enterprise authentication and distributed-system design.
• Practical experience building production AI systems using agents, tool use, retrieval, structured outputs, evaluations and monitoring.
• Practical familiarity with leading LLM platforms and agent frameworks, such as OpenAI, Anthropic, Gemini, LangChain, Semantic Kernel or comparable technologies, including prompt and context engineering.
• Strong solution-architecture judgment across security, reliability, performance, cost, observability and supportability.
• Working knowledge of enterprise Finance processes such as general ledger, close, reporting, procure-to-pay, order-to-cash, forecasting and management reporting.
• Working knowledge of compliance-by-design, including access, segregation of duties, change management, interfaces, automated controls, completeness and accuracy, and audit evidence.
• Ability to communicate with engineers, Finance leaders, control owners, Security and executives.

Responsibilities

• Design end-to-end agentic solutions and determine when a use case should query a source system directly versus use the unified data model.
• Partner with stakeholders to identify high-value use cases, translate requirements into controlled AI workflows and select AI, conventional automation or no new technology.
• Create reusable architecture patterns for agents, tools, APIs, MCP servers, prompts, evaluations and human-review workflows.
• Produce solution designs, security flows, deployment patterns and technical standards.
• Establish development, test and production environments, release pipelines, incident response and rollback controls.

Skills

Python

TypeScript

APIs

Distributed systems

LLM platforms

Agent frameworks

Security & compliance

Finance processes

Communication

Tools

MCP servers

NetSuite

OpenAI

Anthropic

Gemini

LangChain

Semantic Kernel

Job description

Cerebras Systems builds the world's largest AI chip and delivers industry-leading training and inference speeds. This role focuses on hands-on delivery, architecture, and governance across BIS, Finance, and IT, driving enterprise-ready AI solutions with secure data flows and scalable patterns.

You will design agentic architectures, evaluate models, and guide adoption across finance and compliance domains while partnering with engineers and executives to ensure reliable, secure deployments.