Illumina
Manufacturing Engineering, AI Enablement Lead
US - California - San Diego, USA · Senior
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odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$7,370 more — $125,570 — moves this role to Level IV and 4 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $125,570 would place this position at wage Level IV. That figure is within the posted range, and I'd like to target it. This role classifies under "Industrial Engineers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Industrial Engineers (17-2112) · Bakersfield-Delano, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Green-card follow-through: 100%
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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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.
- Additionally, all employees are eligible for one of our variable cash programs (bonus or commission) and eligible roles may receive equity as part of the compensation package.
- We offer a wide range of benefits as innovative as our work, including access to genomics sequencing, family planning, health/dental/vision, retirement benefits, and paid time off.
- Placement depends on experience, skills, location, and internal equity.
Company info
- Working at Illumina means being part of something bigger than yourself.
- We are a company deeply rooted in belonging, promoting an inclusive environment where employees feel valued and empowered to contribute to our mission.
- Every person, in every role, has the opportunity to make a difference.
Visa & Work Authorization
- This role is not eligible for visa sponsorship.
This listing is sourced directly from Illumina's careers page and normalized into a canonical job model.