AI Solutions Engineer (NPI Function)
Immigration summary
Visa sponsorship
This employer sponsors, but not for roles like this one.
292 recent H-1B filings
View visa evidenceGreen card sponsorship
This employer has recently sponsored green cards at scale.
105 recent certified PERM filings
View green card evidenceJob description
To make electronics, you need chips, wafers, transistors, reticles, and... To make these, you must see, test and manufacture them at scale—faster and better than ever before. That's where KLA comes in. Whether you're early in your career or an experienced professional, you'll solve complex challenges, work alongside brilliant minds and help shape the future of technology.
Group/Division
The KLA Services team consists of Service Sales, Marketing, Spares Supply Chain Management, Field Operations, Engineering, Product Training, Digital Solutions and Analytics, and Technical Product Support. Our services organization maximizes the value of our customers' KLA assets – with highly trained service and product support engineers providing installation services and 24/7 technical support and parts delivery through our extensive supply chain network.
What You'll Do
In this role, you will play a key part in advancing business priorities by delivering high-impact work across your area of expertise.
Business Engagement & Opportunity Discovery (Primary Focus)
- Partner closely with NPI leaders, subject matter experts, and operational teams to understand business processes, priorities, and pain points.
- Identify opportunities where AI, automation, analytics, or digital solutions can improve efficiency, productivity, quality, or decision-making.
- Analyze current workflows and recommend innovative approaches to simplify operations and enhance business performance.
- Serve as a trusted advisor to stakeholders on evaluating and applying AI technologies to solve operational challenges.
- Continuously develop domain expertise in NPI operations to identify high-value opportunities for business transformation.
AI Solution Design & Rapid Prototyping (Primary Focus)
- Translate business challenges into solution concepts, proof-of-concepts, and rapid prototypes.
- Develop lightweight AI-enabled applications, copilots, agents, workflow automations, and decision-support tools.
- Leverage modern AI technologies, large language models, enterprise knowledge systems, and AI-assisted development tools to accelerate solution delivery.
- Validate technical feasibility, business value, and user adoption through iterative experimentation and stakeholder feedback.
- Collaborate with Data Scientists to incorporate predictive models, analytics, and business insights into user-facing solutions.
Business Adoption & Value Realization (Primary Focus)
- Drive pilot deployments and user adoption efforts to ensure solutions deliver measurable business outcomes.
- Gather stakeholder feedback and continuously refine solutions based on real-world usage.
- Define and monitor business success metrics, user engagement, and operational impact.
- Promote self-service capabilities that increase access to knowledge, insights, and decision-support tools across the organization.
Product & Solution Management (Secondary Focus)
- Help prioritize AI opportunities based on business value, technical feasibility, and organizational impact.
- Develop lightweight solution roadmaps and implementation plans.
- Document business requirements, user feedback, and lessons learned from prototype development.
- Serve as the bridge between business stakeholders, Data Scientists, and AI engineering teams during productionization.
- Support the transition of successful prototypes into scalable enterprise solutions.
Preferred Qualifications
- Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, Data Science, Business Analytics, or a related discipline.
- Experience developing software applications, business solutions, process automation, or digital transformation initiatives.
- Familiarity with AI technologies including large language models, retrieval systems, agents, workflow automation, or related technologies.
- Experience with Python, Power Platform, Copilot Studio, Azure AI, SQL, or similar technologies.
- Strong analytical and problem-solving skills with the ability to navigate ambiguous business challenges.
- Excellent communication and stakeholder engagement skills.
- Ability to influence without authority and work effectively across technical and non-technical teams.
- Curiosity, creativity, and a passion for improving business processes through technology.
What Success Looks Like
- NPI teams spend less time on manual and repetitive activities.
- Critical knowledge becomes easier to access and reuse.
- AI-enabled solutions are broadly adopted by users.
- Business decisions are made faster with better information.
- High-value prototypes successfully transition into enterprise-scale solutions.
- Measurable operational improvements are achieved through AI-driven innovation.
Impact
This role serves as the bridge between business challenges and AI-enabled solutions. Success is measured not by the number of applications developed, but by the ability to identify meaningful opportunities, rapidly validate new ideas, improve operational effectiveness, and drive measurable business outcomes across the NPI organization.
Expected Time Allocation
80% Business Engagement & Solution Development
- Understanding business operations
- Stakeholder partnership
- Opportunity discovery
- AI solution design
- Prototyping
- Adoption and value realization
20% Product Management
- Prioritization
- Roadmapping
- Requirements definition
- Success metrics
- Productionization coordination
Minimum Qualifications
Bachelor's or Master's degree in Computer Science, Software Engineering, Information Systems, Data Science, or a related field.
About KLA
We provide advanced inspection tools, metrology systems, process solutions, and computational analytics that make electronics possible, tackling complex challenges. From electron and photon optics to machine learning and data analytics, we seek perfection at the most fundamental level of matter in the universe. If you want to make electronics that push industries forward and make the world a better place, join us.
Total Rewards
Base Pay Range: $94,100.00 - $138,033.00 Annually
Primary Location: USA-MI-Ann Arbor-KLA
KLA’s total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.
Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.
Use of AI Statement
At KLA, our interviews seek to understand your individual skills, problem-solving approach and authentic thinking. To ensure a fair and consistent evaluation, the use of AI, recording tools or other technologies to generate, suggest or provide responses during interviews—whether virtual or in person—is not permitted unless explicitly approved in advance as part of a reasonable accommodation or invited by the interviewer. Use of these tools may interfere with our ability to evaluate your individual qualifications and affect your candidacy. KLA is committed to advancing innovation through responsible AI, and we value candidates who share this mindset.
Equal Opportunity Statement
KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at talent.acquisition@kla.com or at +1-408-352-2808 to request accommodation.
For additional information, view the US Know Your Rights poster on the U.S. Equal Employment Opportunity Commission website.
Sponsorship evidence
Why Openbound reached the conclusions above.
Visa sponsorship evidence
Current posting
Silent on sponsorship
Employer H-1B history
- 292
- recent certified H-1B filings
- 155
- new-hire petitions
- 0
- filings for similar roles
- 291
- so far in FY2026
More evidence details
- 292 recent certified H-1B filings across the employer
- Still filing this year — 291 filings in FY2026
- 196 USCIS H-1B new-employment approvals, counted separately from LCA filings
- Strong filing activity in MI
- 425 further USCIS approvals for extensions or transfers
- We checked 117 filing titles for this employer and none describe work like this role
- The posting says nothing about sponsorship either way
Strong filing activity in MI.
Green card sponsorship evidence
Employer PERM history
- 105
- recent certified PERM filings
- 0
- filings for similar roles
- 45
- filings in this location
Filing history reflects past employer behavior; it isn't a promise for this opening.
All open roles at KLAHow Openbound evaluates sponsorship
Visa history uses official U.S. Department of Labor H-1B LCA disclosure data and USCIS H-1B petition history. Green card history uses DOL PERM disclosure data. Each is read for the employer as a whole, for roles like this one, and for this location, weighted toward the most recent fiscal years.
An employer is matched to its filing entities by verified legal name and reviewed aliases; a match is never made on a name resemblance alone. Where no verified entity can be matched, the page says so and draws no conclusion from the absence. 117 filing titles were examined for this employer.
What this posting states outranks history in both directions, and an employer's published policy outranks past filings. Filing history reflects past behavior; it is not a promise of sponsorship for this opening, and none of this is legal advice.