Staff AI Engineer – Business Systems at Cerebras · LumiJobs

Responsibilities

The AI and Automation Engineer is a hands-on member of the Business Intelligence and Systems team responsible for designing, building and operating secure AI solutions and enterprise automations for Cerebras. The role will translate complex Finance, Accounting, Supply Chain and enterprise requirements into reliable agents, applications, integrations and controlled workflows.
This engineer will serve as a technical owner across the AI and automation lifecycle. The role combines solution architecture with direct engineering, disciplined production support, and delivery through Scrum and Agile practices. Success requires strong software-engineering judgment, practical business-process knowledge and the ability to move a prototype into a secure, tested and supportable production service.
AI solution architecture and engineering
Design, build, test, deploy and support production AI agents, orchestration services, enterprise applications and reusable platform components.
Create reusable patterns for agents, tools, APIs, Model Context Protocol servers, prompts, retrieval, evaluations and human-review workflows.
Design and support secure connections between AI services and approved enterprise platforms, beginning with NetSuite and extending to data, procurement, contracts, HR, CRM and other systems as priorities evolve.
Build reliable integrations using APIs, MCP, webhooks, event-driven services, SFTP and enterprise integration platforms where appropriate.
Own operational requirements for internal and third-party components, including credential and key rotation, access reviews, patching, monitoring, incident response and recovery.
AI platform evaluation and production reliability
Evaluate models, agent frameworks, connectors and enterprise platforms through structured proofs of concept and documented technical recommendations.
Assess accuracy, security, reliability, integration fit, user experience, latency, operating cost and vendor viability before production adoption.
Build evaluation datasets, automated and human grading methods, release thresholds and ongoing monitoring for deployed solutions.

Qualification

8+ years in softwareStrong Python and/or TypeScript skillsAbility to communicate with engineersExperience with cloud platformsExperience in semiconductorWhy Join Cerebras

Required

Required capabilities are calibrated for a Staff-level hands-on engineer with solution-architecture responsibilities.
8+ years in software, platform, integration, solution engineering or enterprise applications, including meaningful hands-on production ownership in complex environments.
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.

Preferred

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.
Why Join Cerebras
People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:
Build a breakthrough AI platform beyond the constraints of the GPU.

Staff AI Engineer – Business Systems

Responsibilities

Qualification

Required

Preferred

Company

Cerebras

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