Staff AI Engineer – Business Systems

Cerebras
Sunnyvale
Workplace: HybridFull timeFunction: Data Science & Machine LearningSkills: ["Communication","Stakeholder management","Solution-architecture judgment"]

Design and deliver agentic AI solutions and reusable architecture patterns for enterprise Finance, operations, and business systems. Build production AI agents, orchestration services, and secure integrations (starting with NetSuite) while preserving authentication, entitlements, rate limits, and audit trails. Assess prototypes for security and control readiness, refactor to enterprise-grade applications, and run structured model/platform evaluations to drive governed adoption.

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FursaFursa
Cerebras
Cerebras
3 days ago

Staff AI Engineer – Business Systems

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Source: Company careers pageValidated by: Fursa AI
Last checked: 16 hours agoStatus: Live

Job Summary

Design and deliver agentic AI solutions and reusable architecture patterns for enterprise Finance, operations, and business systems. Build production AI agents, orchestration services, and secure integrations (starting with NetSuite) while preserving authentication, entitlements, rate limits, and audit trails. Assess prototypes for security and control readiness, refactor to enterprise-grade applications, and run structured model/platform evaluations to drive governed adoption.
Location: Sunnyvale
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design end-to-end agentic solutions, deciding when to query source systems directly versus using a unified data model.
  • •Build AI agents, orchestration services, enterprise applications, and reusable platform components for business workflows and reporting.
  • •Establish secure, primarily read-only connections to approved business systems while preserving authentication, authorization, entitlements, rate limits, and audit trails.
  • •Assess prototypes for value, architecture, security, maintainability, and control readiness, then refactor into tested, monitored, supportable enterprise applications.
  • •Translate Finance, Security, Privacy, SOX, and SDLC requirements into technical architecture and application controls, including least privilege and audit evidence.

Key Requirements

  • •8+ years in software, platform, integration, solution engineering, or enterprise applications with hands-on production ownership in complex environments.
  • •Strong Python and/or TypeScript skills, with experience using APIs/MCP-style tool protocols and designing distributed systems with enterprise authentication.
  • •Build 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, and Semantic Kernel (or comparable).
  • •Strong solution-architecture judgment across security, reliability, performance, cost, observability, and supportability, including enterprise Finance and compliance-by-design knowledge.
Experience:Enterprise applicationsAI agentsLLM platformsSOXFinTech
Skills:CommunicationStakeholder managementSolution-architecture judgment
Tech Stack:PythonTypeScriptAPIsMCPOpenAIAnthropicGeminiLangChainSemantic KernelNetSuite

Company Brief

Cerebras
Designs and builds wafer-scale AI accelerators and systems for large-scale deep learning workloads, delivering specialized hardware and software to accelerate model training and inference for enterprises and research institutions.
Industry: Hardware Devices
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Headquarters: Sunnyvale, United States
Founded: 2016
WebsiteLinkedIn