Senior Director, AI Engineering
Listed on 2026-09-27
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IT/Tech
AI Business & Operations, AI Engineer (Applied/Software)
Remote or Remote | Information Technology | Full Time
Posted today
DescriptionAt Benchmark
, we are driven by our purpose: to innovate for a healthier, safer, and better-connected world to create a brighter future. When you join us, you become part of a team passionate about making a meaningful impact across various sectors, including commercial aerospace, defense, advanced computing, next-generation communications, complex industrials, medical, and semiconductor capital equipment. We prioritize career growth, fostering a culture that ensures you reach your full potential.
At Benchmark, your work is purpose-driven, enabling you to create a positive impact on the world and make your career truly meaningful. You’ll be part of a collaborative and inclusive team that values your ideas and contributions.
Provides strategic and operational leadership for the company’s artificial intelligence initiatives. This individual creates the enterprise AI strategy, leads a cross-functional AI Council to assess and prioritize projects, researches and determines future AI investments, and ensures effective management of AI budget allocations. The role balances the growth of home‑grown AI tools with the company’s portfolio of licensed third-party solutions to save costs and optimize AI performance for company‑specific applications, while setting and maintaining a healthy AI culture across the organization.
Responsibilities:AI Strategy, Governance & Portfolio Leadership
- Develops, owns, and maintains the company’s enterprise AI strategy and roadmap, aligned to corporate objectives and the priorities of the Chief Technology Officer and the AI Steering Committee.
- Leads a cross‑functional AI Council to intake, assess, and prioritize AI projects spanning manufacturing operations, trade and compliance, human resources, legal contract review, engineering design, sales and reporting, supply chain analysis, and other functions.
- Researches emerging AI practices, models, and platforms to determine future AI investments, balancing commercial third‑party solutions with home‑grown systems that reduce cost and optimize performance for company‑specific applications.
- Manages the AI budget and capital allocations, providing forecasts, business cases, and return‑on‑investment analyses to leadership for prioritized initiatives.
- Directs the design, development, and deployment of home‑grown AI tools and systems, and defines when to build versus buy across the portfolio of licensed third‑party AI solutions.
- Defines success metrics, tracks value realization, and reports portfolio status, risks, and outcomes to the Chief Technology Officer and executive stakeholders on a regular basis.
- Establishes AI governance, data privacy, security, and responsible‑AI standards in partnership with IT, Legal, and Cybersecurity, including model risk management and compliance controls.
- Sets and maintains a healthy, ethical AI culture across the company, championing adoption, upskilling, and change management for tools such as Microsoft Copilot and Git Hub Copilot.
- Ensures released Benchmark process instructions and applicable regulatory requirements are followed in the development and operation of AI systems.
- Develops, owns, and maintains the company’s enterprise AI strategy and roadmap, aligned to corporate objectives and the priorities of the Chief Technology Officer and the AI Steering Committee.
- Leads a cross‑functional AI Council to intake, assess, and prioritize AI projects spanning manufacturing operations, trade and compliance, human resources, legal contract review, engineering design, sales and reporting, supply chain…
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