AI and Automation Engineer - Business Systems

The role

The AI and Automation Engineer will design, build, and operate secure AI solutions and enterprise automations. This role involves translating Finance, Accounting, and Supply Chain requirements into reliable agents, applications, and workflows.

What you will do

• Design, build, test, deploy and support production AI agents and orchestration services.
• Create reusable patterns for agents, tools, APIs, and human-review workflows.
• Design and support secure connections between AI services and enterprise platforms.
• Build reliable integrations using APIs, MCP, webhooks, and event-driven services.
• Own operational requirements including credential rotation, monitoring, and incident response.
• Evaluate models, agent frameworks, and enterprise platforms through proofs of concept.
• Build evaluation datasets and automated grading methods for deployed solutions.
• Partner with Finance, Accounting, and Supply Chain to identify high-value use cases.
• Deliver work through a Scrum-based operating model.
• Translate Security, Privacy, SOX and SSDLC requirements into technical architecture.

Required qualifications

• 8+ years of experience in software, platform, integration, solution engineering, enterprise applications or related technical roles.
• Strong Python and TypeScript or JavaScript skills.
• Practical experience building APIs, services and enterprise applications.
• Hands-on experience building production AI systems using agents, tool use, retrieval, structured outputs, evaluations and monitoring.
• Practical experience with leading LLM platforms and agent frameworks such as OpenAI, Anthropic, Gemini, LangChain, Semantic Kernel or comparable technologies.
• Experience designing integrations with MCP or comparable tool protocols, enterprise authentication, permission-aware access and distributed-system reliability patterns.
• Demonstrated ability to design and build complete solutions.
• Working knowledge of enterprise Finance processes including close, reporting, procure to pay, order to cash, forecasting and management reporting.
• Experience working in Scrum or Agile teams.
• Working knowledge of software engineering practices including version control, peer review, environment management, automated testing, CI/CD and observability.
• Strong analytical, troubleshooting and communication skills.

Nice to have

• Experience building AI or automation solutions for Finance, Accounting, Supply Chain or other controlled enterprise processes.
• Experience integrating AI services with ERP, data, procurement, contract, HR, CRM or enterprise workflow platforms.
• Experience with cloud platforms, event-driven or serverless architectures and enterprise integration platforms.
• Experience implementing SOX controls or operating in a public-company, IPO-readiness or audit-regulated environment.
• Experience in semiconductor, hardware, manufacturing or another operationally complex environment.

Benefits

• Build a breakthrough AI platform beyond the constraints of the GPU.
• Publish and open source cutting-edge AI research.
• Work on one of the fastest AI supercomputers in the world.
• Job stability with startup vitality.
• Simple, non-corporate work culture that respects individual beliefs.

About the company

Cerebras Systems builds the world's largest AI chip. The company works with leading model labs, global enterprises, and cutting-edge AI-native startups.