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AI and Automation Engineer - Business Systems

Cerebras· IT & Security
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Hybrid (Sunnyvale, CA)Full-timePosted 1mo ago

About the role

Hands-on AI engineering, enterprise automation and agile delivery for Finance, operations and business systems. Responsible for designing, building and operating secure AI solutions and enterprise automations across Finance, Accounting, Supply Chain and other enterprise workflows.

Responsibilities

  • 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.
  • 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.
  • 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.
  • Establish clear business ownership, user feedback loops, training and adoption plans for every production workflow.
  • Use task success, accuracy, business-process cycle time, adoption, trust and support demand to guide iteration and determine whether a solution should scale.
  • Deliver work through a Scrum-based operating model, participating actively in backlog refinement, sprint planning, daily stand-ups, estimation, demonstrations and retrospectives.
  • Convert business needs into epics, user stories, technical tasks, acceptance criteria, evaluation plans and sequenced releases.
  • Break complex initiatives into testable increments and communicate scope, dependencies, risks, tradeoffs and delivery status clearly.
  • Maintain a strong definition of done covering design approval, peer review, testing, security and control validation, documentation, deployment readiness and operational handoff.
  • Translate Security, Privacy, SOX and SSDLC requirements into technical architecture, application controls and operating procedures.
  • Implement least privilege, segregation of duties, logging, retention, change control, evidence collection and periodic access review.
  • Require deterministic validation and reconciliation when AI or automation touches financially material data or calculations.
  • Support control walkthroughs, testing, audits, risk assessments and remediation while preserving formal approval by the appropriate control owner.

Qualifications

  • 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.
  • Strong Python and TypeScript or JavaScript skills, with 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 rather than only evaluate vendors, administer platforms or produce prototypes.
  • 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.
  • Strong analytical, troubleshooting and communication skills, with the ability to work effectively with business leaders, engineers, Security, control owners and external partners.

Skills

Required:PythonTypeScript or JavaScriptLLM platforms and agent frameworks

Benefits

  • Find out more about what it's like to work at Cerebras here
  • Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.
Last updated Oct 4, 2026. Interested? Apply on the company site.

About Cerebras

Cerebras is the go-to platform for fast and effortless AI training. Learn more at cerebras.ai.

Cerebras is the go-to platform for fast and effortless AI training.

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