AI Applications Engineer 2

Veeco•Beverly, MA

5d•$98,000 - $156,000•Hybrid

About The Position

Veeco is seeking an AI Applications Engineer to help identify, develop, and deploy AI-enabled solutions that enhance engineering productivity, accelerate decision-making, and drive innovation across the organization. In this highly visible role, you will partner with engineering, IT, and business teams to evaluate emerging technologies, develop practical AI applications, and support the adoption of solutions that deliver measurable business value. This is an opportunity to work hands-on with cutting-edge AI technologies while helping shape Veeco's digital transformation strategy.

Requirements

Bachelor's degree in Engineering, Computer Science, Data Science, Information Systems, or a related technical field.
Minimum of 2 years of experience in software engineering, AI applications, digital transformation, workflow automation, engineering systems, or a related technical field.
Demonstrated ability to analyze business or technical challenges and contribute to practical technology solutions.
Ability to identify workflow challenges and contribute to automation and AI-enabled solutions.
Working knowledge of Python and familiarity with APIs, cloud platforms, workflow automation tools, or low-code technologies.
Understanding of AI/ML and generative AI concepts, including large language models and copilots.
Ability to collaborate effectively across engineering, business, and IT teams.
Strong analytical, communication, documentation, and problem-solving skills.

Nice To Haves

5 years of related experience.
Experience leading technical initiatives with limited supervision.
Ability to evaluate complex business and technical requirements and influence solution direction.
Experience partnering with senior technical and business stakeholders.
Advanced knowledge of AI platforms, workflow automation technologies, and modern software development practices.
Experience designing, implementing, or supporting AI applications, agents, or workflow automations.
Experience with enterprise AI platforms, including Microsoft Copilot, GitHub Copilot, Power Platform, or similar tools.
Familiarity with RAG, enterprise search, knowledge management, and enterprise data integration.
Experience leading discovery, requirements gathering, and implementation efforts.
Ability to drive user adoption and serve as a technical resource on cross-functional initiatives.

Responsibilities

Partner with engineering and business stakeholders to identify high-value opportunities for AI and automation.
Translate business needs into use cases, requirements, and implementation plans in collaboration with IT and data teams.
Evaluate, prototype, and deploy AI applications, agents, and workflow automations that improve engineering productivity.
Recommend and integrate AI tools, copilots, and related technologies that align with business, technical, and governance requirements.
Lead pilots, implementation activities, user enablement, and adoption efforts for new AI solutions.
Manage assigned projects, including stakeholder coordination, success metrics, documentation, and training.