Cerebras Systems
AI and Automation Engineer - Business Systems
Sunnyvale, CA · Senior
Sponsorship not specifiedDetected 21 days ago
JavaScriptTypeScriptPythonCode ReviewCloud PlatformsCI/CDLLMsAgentic AIIncident ResponseComplianceAgileCRMAccountingForecastingSupply ChainProcurementERPTest AutomationCommunicationNetSuite
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odds of building a lasting career here
40Risky
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
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from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Context, not a finding about this posting: of this employer's 3 green-card filings in this occupation, 100% were for a worker who already held the job.
Files H-1B transfers
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About the role
- This engineer will serve as a technical owner across the AI and automation lifecycle.
Responsibilities
- 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.
- Build evaluation datasets, automated and human grading methods, release thresholds and ongoing monitoring for deployed solutions.
- Diagnose production failures, identify root causes and implement durable improvements to code, prompts, data, controls and operating procedures.
- Partner with Finance, Accounting, Supply Chain, Business Operations, IT and Security to identify high-value use cases and translate requirements into controlled solutions.
- Deliver solutions for close and reporting, forecasting, procurement, billing, compliance monitoring and other enterprise workflows where automation provides measurable value.
Requirements
- 8+ years of experience in software, platform, integration, solution engineering, enterprise applications or related technical roles, with meaningful hands-on production ownership in complex environments.
- 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.
- 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 and translating requirements into appropriately sized stories, estimates, acceptance criteria, test plans and releases.
- Working knowledge of software engineering practices including version control, peer review, environment management, automated testing, CI/CD and observability.
- 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.
Nice to have
- 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
- 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:
- Publish and open source their cutting-edge AI research.
Skills
- Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups.
- Hands-on AI engineering, enterprise automation and agile delivery for Finance, operations and business systems
Company info
- Build a breakthrough AI platform beyond the constraints of the GPU.
- Our simple, non-corporate work culture that respects individual beliefs.
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This listing is sourced directly from Cerebras Systems's careers page and normalized into a canonical job model.