AI and Automation Engineer - Business Systems

# AI and Automation Engineer - Business Systems Cerebras Sunnyvale , CA (Hybrid)
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Builds and operates production AI agents, enterprise applications, and automations for Finance, Supply Chain, and other business teams. The engineer owns solutions from architecture and evaluation through security, deployment, and support, translating business processes into controlled and reliable workflows.
* Permanent* Hybrid
* 8+ years### Skills and expertise

Python Type Script  or JavaScript AI agents and tool useAPIs and enterprise integrations

Model Context Protocol (MCP)
Retrieval and structured outputsAI evaluations and monitoring

LangChain and Semantic Kernel### Key responsibilities
* Design, build, deploy, and support production AI agents, enterprise applications, and reusable platform components.
* Evaluate models and agent frameworks, and create datasets, grading methods, release thresholds, and ongoing monitoring.
* Partner with business teams to automate workflows while implementing security, compliance, and financial controls.## How this job compares

Compared with 410 open senior machine learning jobs on October 10, 2026.Pay:
This job does not publish its pay. The 143 open senior machine learning jobs that publish US pay start at $186K a year on average.

Similar open jobs:
We Love AI Jobs lists 410 open senior machine learning jobs at 176 companies.

Remote work:
This job is hybrid. 90 of the 410 senior machine learning jobs (22%) are remote.

AI in this role:
High. AI is the core of the work: building, training or deploying AI systems. Building, evaluating, deploying, and supporting production AI agents is the core of the role. The posting calls for hands-on work with agents, retrieval, tool use, evaluation, and named LLM platforms and frameworks.## Full description

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.

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.

Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.

Hands-on AI engineering, enterprise automation and agile delivery for Finance, operations and business systems

About the role

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.

What you will doAI solution architecture and engineering
• Design, build, test, deploy and support production AI agents, orchestration services, enterprise applications and reusable platform…