Responsibilities Strategy & Vision:

Define and drive the company-wide AI strategy, identifying high-impact opportunities across manufacturing, HR, quality control, supply chain, R D, sales, and customer service.\n

Leadership & Team Building:

Recruit, develop, and lead a team of new to industry AI designers and project managers to implement major AI projects. Work with the analytics team to establish best practices for model development, deployment, and governance. Move towards a hub-and-spoke operating model, with a centralized team of specialists defining standards and practices while working closely with embedded teams across the business.\n

Cross-Functional Partnership:

Collaborate with continuous improvement and with major functional areas such as optical engineering, manufacturing operations, IT, and commercial teams to identify use cases for advancement (e.g., computer vision for defect detection, predictive maintenance, generative AI for design/quoting tools, customer-facing chat/support tools).\n

Solution Delivery:

Be accountable for the full lifecycle of AI projects - from proof of concept through production deployment and monitoring - ensuring scalability, reliability, and ROI.\n

Data Infrastructure:

Partner with IT, analytics, and cybersecurity to ensure the organization has the data pipelines, infrastructure, and governance needed to support AI initiatives.\n

Innovation & Emerging Tech:

Stay current on advances in AI (including large language models, computer vision, generative AI, agentic AI, and industrial AI applications) and assess applicability to optics manufacturing and photonics R D.\n

Responsible AI & Governance:

Establish policies for data privacy, model risk, security, and ethical use of AI across the enterprise.\n

Executive Communication:

Report to senior leadership on AI initiative progress, business impact, budget, and risk; build the business case for continued AI investment.\n

Vendor & Partnership Management:

Evaluate and manage relationships with AI technology vendors, cloud providers, and external research partners. Qualifications To perform this position successfully, an individual must be able to perform each essential function satisfactorily. The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable Accommodations may be made to enable individuals with disabilities to perform the essential functions. Required Skills & Abilities Proven track record of deploying AI and/or ML solutions at scale in a manufacturing, industrial, or engineering-driven environment.\nStrong knowledge of machine learning, computer vision, agentic AI, and/or generative AI techniques and their practical business applications.\nStrong change management skills, especially implementing AI solutions in major functional areas of a large organization.\nExperience building and leading technical teams.\nExcellent communication skills with the ability to translate technical concepts for non-technical executive stakeholders.\nExperience managing budgets and demonstrating ROI on technology investments\nComply with federal, state, and company policies, procedures, and regulations Education/Experience Bachelor's degree in Computer Science, Data Science, Engineering, or related field (Master's or PhD preferred).\n5+ years of experience in AI, ML, data science, or related technical fields, with 5+ years in a leadership role adjacent to AI (computer science, engineering, data analytics or other related fields).

The following qualifications are preferred:

Experience in optics, photonics, precision manufacturing, or a related technical industry.\nExperience with cloud AI or ML platforms, especially agentic AI tools.\nExperience with AI data platforms, especially Snowflake. Physical Requirements Ability to operate office equipment such as a copier; ability to see details at a close range; ability to sit at desk or PC for long periods of time; work in office setting. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Think you meet some of the requirements but not all? Studies have shown that women and people of color are less likely to apply to jobs for which they do not meet every qualification. If you see a role that interests you, we encourage you to apply, regardless of whether or not your experience is completely aligned with the job description. Edmund Optics is committed to becoming the most diverse, equitable, and inclusive workplace within the Optics and Photonics Industry and beyond. You may be a great candidate for this role or others within Edmund Optics.

Compensation Range Transparency:

At Edmund Optics, we are committed to transparency and equity in our hiring practices. The posted salary range for this role reflects the expected base pay. The actual offer will be based on multiple factors, including but not limited to relevant skills, education, work experience, business needs, and geographic location.

Salary Range:

\n$190,000 - $235,000 per year

Benefits:

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Senior Director, Artificial Intelligence