AI Solutions Engineer: Turn AI into Real Business Wins

KLA-Belgium

Ann Arbor (MI)

On-site

USD 94,000 - 138,000

Full time

6 days ago

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Job summary

KLA is seeking a forward-thinking professional to advance NPI priorities by delivering high-impact AI-enabled solutions. You will partner with leaders and engineers to translate challenges into rapid prototypes, copilots, and automation that improve efficiency and decision making.

You will drive pilots, gather feedback, and refine solutions, bridging business needs with data science and engineering. This role emphasizes measurable operational impact across the NPI organization.

Qualifications

Bachelor's or Master's degree in CS, engineering, information systems, data science, or related field.
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.

Responsibilities

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.
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.
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.
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.