Illumina
Manufacturing Engineering, AI Enablement Lead
US - California - San Diego, USA · Senior
H1B sponsorship available$118k-$177kDetected 79 days ago
AzureLLMsAgentic AIAgileSAPProcess ImprovementERPLeadershipCommunicationCollaboration
About the role
- What if the work you did every day could impact the lives of people you know?
- Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients.
- Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible.
Responsibilities
- Partner with manufacturing sites and value streams to identify high‑value AI and automation opportunities and shape an actionable demand pipeline.
- Partner with IT and business stakeholders to execute RPA, Generative AI, and Agentic AI solutions.
- Lead intake, scoping, sprint planning, and delivery to ensure solutions are scalable, maintainable, and aligned with enterprise AI governance and emerging AI CoE practices.
- Collaborate closely with IT Automation & AI teams and platform owners to ensure technology readiness, security, and compliance.
- Assess and drive adoption of AI capabilities integrated with SAP EAM, Industry 4.0, Digital Twin, and other OT and manufacturing technologies.
- Design and deploy comprehensive training programs to accelerate AI literacy and adoption across manufacturing operations.
- Develop enablement assets including playbooks, FAQs, demos, usage guidelines, and citizen‑developer guardrails.
- Drive change‑management strategies that support new AI solutions, ensuring strong stakeholder engagement, communication, and user readiness.
- Support cultural transformation toward data‑driven, AI‑enabled manufacturing operations.
- Stay current on AI, LLM, and automation trends and apply insights to guide technology evolution and solution design.
Requirements
- 8+ years of experience in Global Operations, Manufacturing, Quality, or related environments.
- Strong understanding of life sciences manufacturing processes and systems, including LIMS, EAM, Industry 4.0, Digital Twin, and OT environments.
- Experience with RPA, LLMs, orchestration tools, or process mining (e.g., UiPath, Azure OpenAI, Microsoft Copilot Studio, Anthropic).
- Experience managing global project portfolios, agile teams, and end‑to‑end solution delivery lifecycles.
- Typically requires 10+ years of related experience with a Bachelor's degree
- or 8+ years with a Master's degree
- or a PhD with 6+ years of experience
Nice to have
- Hands‑on experience deploying AI and automation solutions in complex operational environments.
- Familiarity with enterprise AI governance, risk management, and compliance frameworks.
- Exposure to MES, QMS, ERP, planning systems, or related manufacturing technologies.
- Lean, Six Sigma, or operational excellence certification.
- Leadership Competencies:
- Ability to simplify complex AI concepts for broad, non‑technical audiences.
- Change‑leadership mindset with a focus on adoption, value realization, and sustainable outcomes.
- The range reflects long‑term growth in the role.
Compensation
- The estimated base salary range for the Manufacturing Engineering, AI Enablement Lead role based in the United States of America is: $118,200 - $177,200.
Benefits
- At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world.
- This is a unique opportunity to shape how AI scales across manufacturing at a company whose work advances human health globally.
Company info
- Working at Illumina means being part of something bigger than yourself.
- Every person, in every role, has the opportunity to make a difference.
Visa & Work Authorization
- This role is not eligible for visa sponsorship.
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This listing is sourced directly from Illumina's careers page and normalized into a canonical job model.