Cerebras Systems
Staff AI Engineer – Business Systems
Sunnyvale, CA · Staff+
Sponsorship not specifiedDetected 3 days ago
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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
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About the role
- This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.
- OpenAI recently announced a multi-year partnership https://openai.com/index/cerebras-partnership/ with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.
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.
- 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.
- Build AI agents, orchestration services, enterprise applications and reusable platform components.
- Deliver workflows for close and reporting, procurement, forecasting, billing and compliance monitoring where AI adds measurable value.
- Implement citations, evidence links, deterministic checks, exception handling and safe action boundaries.
- 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 clear documentation, reusable patterns and reference architectures; coach teams on effective agent design, prompts, evaluation practices and safe operating boundaries.
- Establish feedback loops with users and process owners; use adoption, task success, efficiency, trust and support signals to guide iteration.
- Implement least privilege, segregation of duties, logging, retention, evaluation, change control and audit evidence.
Requirements
- 8+ years in software, platform, integration, solution engineering or enterprise applications, including meaningful hands-on production ownership in complex environments.
- experience with APIs, MCP or comparable tool protocols, enterprise authentication and distributed-system design.
- Working knowledge of enterprise Finance processes such as general ledger, close, reporting, procure-to-pay, order-to-cash, forecasting and management reporting.
- Ability to communicate with engineers, Finance leaders, control owners, Security and executives.
- Required capabilities are calibrated for a Staff-level hands-on engineer with solution-architecture responsibilities.
Nice to have
- Experience with ERPs, data platforms, frontier AI platforms, agent frameworks or comparable enterprise technologies.
- Hands-on experience implementing SOX controls or operating in a public-company or audit-regulated environment.
- Success measures
- Time from approved use case to controlled production and sustained adoption, with evidence of measurable business value.
- Reduction in manual effort and business-process cycle time
- improvement in decision quality or service levels.
- Accuracy, groundedness, reconciliation success and production reliability of deployed agents.
- Latency, operating cost and cost per successful task for deployed agents and applications.
Skills
- Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups.
Benefits
- Maintain platform standards and recommend adoption, retention, replacement or retirement decisions.
Company info
- Build a breakthrough AI platform beyond the constraints of the GPU.
- Publish and open source their cutting-edge AI research.
- Work on one of the fastest AI supercomputers in the world.
- Enjoy job stability with startup vitality.
- 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.