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Head of AI Applications

SiTime Corporation
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California, USA
Aug 06, 2026

Job Description

Job Description

About SiTime

SiTime Corporation is the precision timing company. Our semiconductor MEMS programmable solutions offer a rich feature set that enables customers to differentiate their products with higher performance, smaller size, lower power and better reliability. With more than 3 billion devices shipped, SiTime is changing the timing industry. For more information, visit www.sitime.com.


Job Summary

We are seeking a Head of AI Applications to define and execute the strategy for AI-powered solutions across SiTime. This role will lead the development, deployment, and scaling of AI applications that drive measurable business outcomes across functions including Sales, Finance, Operations, HR, and Marketing. This is a hands-on leadership role responsible for building a high-performing team, delivering production-grade AI solutions, and driving company-wide adoption of AI as a trusted, everyday capability. It is not necessary to meet all job requirements to be a qualified candidate for the position.

Responsibilities:

  • Set the AI applications strategy. Define and own the vision and roadmap for AI-powered solutions, aligned to company and business-function priorities.
  • Build agentic AI across the business. Design and deliver agentic AI solutions for functions across the organization — Sales, Finance, Operations, HR, Marketing, and more — that automate workflows and augment teams.
  • Drive AI adoption and enablement. Champion AI across the company: lead change management, training, and enablement so teams actually use AI in their day-to-day, and measure and grow adoption over time.
  • Own the full-stack AI solution. Architect end-to-end solutions with the right LLMs for each use case, and integrate them with core business systems and data sources (CRM, ERP, ticketing, knowledge bases, etc.).
  • Ship production AI. Lead the design, development, evaluation, and deployment of LLM- and agent-driven applications — from prototype to scaled production.
  • Partner cross-functionally. Work closely with business leaders, IT, Product, and Engineering to identify high-impact opportunities and turn them into shipped value.
  • Partner with Business Applications. Collaborate closely with the Business Applications team to embed AI directly into core enterprise systems and workflows, ensuring solutions are integrated, supportable, and scalable.
  • Own evaluation and quality. Establish rigorous evaluation, testing, and monitoring practices for model performance, accuracy, latency, and cost.
  • Manage the model and platform stack. Make build-vs-buy decisions across foundation models, fine-tuning, RAG, agents, and orchestration; balance capability, cost, and reliability.
  • Stand up AI governance. Establish SiTime's AI governance framework — policies, review processes, an operating model (e.g., an AI council or center of excellence), and clear standards for how AI is evaluated, approved, and deployed.
  • Drive responsible AI. Set standards and guardrails for safety, privacy, fairness, and governance, and ensure compliance with relevant policies and regulations.
  • Be the internal expert. Keep the organization current on the fast-moving AI landscape and advise leadership on where to invest.

Qualifications & Requirements :

  • 5+ years of experience building software or AI solutions, with 4+ years in AI/ML and 2+ years leading applied-AI teams.
  • A track record of building agentic AI solutions for business functions (e.g., Sales, Finance, Operations, HR) and shipping them to production at scale — not just prototypes.
  • Hands-on experience with the Microsoft Copilot ecosystem — M365 Copilot, Copilot Studio, and agent builder — to build, customize, and deploy agents across the organization.
  • Demonstrated success driving AI adoption and enablement across an organization: change management, training, and measurable uptake.
  • Experience architecting full-stack AI solutions — selecting the right LLMs for each use case and integrating with core business systems (CRM, ERP, data platforms, etc.).
  • Deep, current understanding of LLMs and generative AI, including prompting, retrieval-augmented generation (RAG), fine-tuning, agents, and evaluation methods.
  • Strong engineering fundamentals: you can go deep with your team on architecture, integrations, and trade-offs.
  • Proven
About SiTime Corporation
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