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Principal AI Engineer, HR Automation | Cohesity - Santa Clara

Job in Seattle, King County, Washington, 98127, USA
Listing for: Cohesity Inc.
Full Time position
Listed on 2026-06-05
Job specializations:
  • IT/Tech
    AI Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Interested candidates based outside of the designated areas are welcome to apply, provided they have the indefinite right to work in the job location.

Cohesity is a leader in AI‑powered data security and management. Aided by an extensive ecosystem of partners, Cohesity makes it easy to secure, protect, manage, and get value from data — across the data center, edge, and cloud. Cohesity helps organizations defend against cybersecurity threats with comprehensive data security and management capabilities, including immutable backup snapshots, AI‑based threat detection, monitoring for malicious behavior, and rapid recovery  have been named a Leader by multiple analyst firms and have been globally recognized for Innovation, Product Strength, and Simplicity in Design.

Join us on our mission to shape the future of our industry.

As we continue to scale globally, we are transforming how our People Team operates through automation, AI‑driven workflows, and intelligent employee experiences. We are looking for a highly technical, execution‑oriented AI Automation & People Productivity partner to work closely with our HR and Talent organizations to build next‑generation AI solutions that improve operational efficiency, employee experience, and decision‑making throughout the employee lifecycle.

Responsibilities
  • AI Tools Development: Design, build, and deploy AI‑powered tools and automations for HR and Talent use cases, including intelligent workflow automations, employee‑facing chatbots, document processing solutions, and decision‑support systems.
  • Process Automation: Identify opportunities to improve manual or repetitive HR workflows through scalable AI/ML‑driven automation solutions.
  • Integration & Deployment: Develop integrations between AI solutions and enterprise systems including Workday, ATS platforms, Service Now Ticketing, and other internal tools ensuring seamless data flow and user experience.
  • Collaboration: Partner directly with HR Operations and cross‑functional stakeholders to gather requirements, prototype solutions, run pilots, and drive successful adoption.
  • Iteration and Maintenance: Continuously monitor and improve deployed tools based on user feedback, operational metrics, and evolving business needs.
  • Technical Documentation: Create technical documentation, implementation guides, and operational handoff materials to support long‑term maintainability and scalability.
  • Help establish best practices for AI‑enabled People Technology solutions, including governance, usability, and operational efficiency.
Qualifications
  • 6–10+ years of experience in software engineering, AI/ML engineering, enterprise automation, or HR technology environments.
  • Hands‑on experience building enterprise AI applications using LLM technologies such as OpenAI, Anthropic, Microsoft, or similar platforms.
  • Experience with prompt engineering, AI workflows, orchestration frameworks, and automation platforms.
  • Familiarity with automation and integration tools such as Power Automate, Zapier, Make, or custom‑built workflow frameworks.
  • Strong understanding of HR workflows and employee lifecycle processes.
  • Experience independently scoping, designing, building, and deploying production‑ready solutions.
  • Strong communication and collaboration skills with technical and non‑technical stakeholders.
Preferred Experience
  • Experience integrating AI solutions with HRIS and ATS platforms such as Workday, SAP Success Factors, and Bamboo

    HR.
  • Familiarity with HR data privacy requirements (GDPR, CCPA) as applied to AI systems.
  • Experience with Retrieval‑Augmented Generation (RAG), vector databases, semantic search, or enterprise knowledge management systems.
  • Prior experience supporting People Operations, Recruiting Operations, or People Technology organizations.
  • Experience working within enterprise SaaS, cloud infrastructure, cybersecurity, or AI‑driven technology companies.
What Success Looks Like
  • Complete a technical assessment of current HR systems, workflows, and automation opportunities across the People organization.
  • Deliver at least 2 production‑ready AI‑powered tools or workflow automations that drive measurable operational efficiency.
  • Establish a prioritized roadmap…
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