AI Enablement Engineer
Job DescriptionBrooks Automation is seeking an AI Enablement Engineer to join the Engineering organization. This role offers the opportunity to directly influence how engineering work is done at Brooks Automation. The AI Enablement Engineer will help shape the responsible adoption of AI across engineering teams, improving efficiency while preserving the rigor and quality required for advanced automation products. In this role, you will support the identification, evaluation, development, and deployment of AI tools and workflows that improve engineering productivity across systems, mechanical, electrical, controls, and software engineering disciplines.
This position is engineering-focused and hands-on. The AI Enablement Engineer will work closely with engineers and engineering leadership to integrate AI tools and develop custom AI agents that support real engineering work such as design creation, drawing and schematic review, analysis, documentation, requirements understanding, and engineering data access.
Success in this role is measured by practical, measurable improvements in engineering efficiency, while maintaining Brooks standards for quality, data security, and IP protection.
WHAT YOU'LL DO:- Evaluate and apply AI tools that improve engineering efficiency across mechanical, electrical, and software disciplines.
- Design, develop, and maintain custom AI agents, and lightweight automation tools that support day-to-day engineering activities.
- Identify recurring engineering problems and translate them into repeatable, AI-enabled solutions.
- Integrate AI tools and agents into existing engineering workflows rather than creating parallel processes.
- Partner with engineering teams to pilot AI solutions and refine them based on real usage and feedback.
- Develop and document best practices for responsible AI usage within engineering.
- Work with IT and Security teams to ensure AI tools and agents comply with Brooks data security, IP protection, and governance requirements.
- Support training and enablement for engineers adopting AI tools and workflows.
- Define and track before-and-after productivity metrics to quantify the impact of AI adoption on engineering outcomes.
- Provide regular feedback to engineering leadership on AI effectiveness, limitations, and opportunities for expansion.
WHAT YOU'LL BRING:- Bachelor's Degree in an Engineering related discipline.
- In depth knowledge of modern AI tools and their application to technical and engineering tasks.
- Experience improving engineering tools, processes, or development efficiency.
- Strong understanding of engineering workflows and deliverables.
- Strong problem-solving skills and ability to work across engineering disciplines.
- Experience developing automation, scripts, internal tools, or AI-enabled agents to support engineering workflows is a plus.
- Familiarity with engineering systems such as CAD/ECAD tools, software development environments, FEA/Simulation and PLM systems is a plus.
- Experience supporting engineering productivity or digital transformation initiatives is a plus.
- Ability to work effectively in a fast-moving, evolving technical environment is a plus.
CompensationBase Salary Range: $105,593.46 USD to $142,861.74 USD
Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate.
This position is also eligible for an annual discretionary bonus.
BenefitsAt Brooks, we offer the following benefits for this position, subject to applicable eligibility requirements:
- Medical, Dental, Vision and Disability Insurance
- 401(k) Plan
- Exempt employees are provided company paid holidays and Flexible Vacation to enjoy personal time off and incidental sickness.
Have a question about our benefits and compensation package? Your recruiter can share more with you during the hiring process.
Work Location & FlexibilityAt Brooks, we aim to foster a collaborative and engaging environment while offering flexibility where possible. Work arrangements may include a mix of in-office and remote work, depending on the nature of the role and business needs. Specific expectations will be shared during the interview process.
