Sr Director - AI Engineering, Discovery and Co-Design

Accountabilities:: Define and execute the strategic vision, roadmap, and long-term direction for AI engineering, scientific discovery, and co-design capabilities across research and development organizations. Lead the design, development, and deployment of scalable AI-powered platforms, engineering workflows, knowledge systems, and scientific reasoning capabilities that accelerate innovation and improve engineering effectiveness. Establish collaborative co-design environments that connect sensor, hardware, firmware, algorithm, antenna, mechanical, and systems engineering disciplines. Identify and prioritize high-impact AI opportunities in partnership with engineering, research, systems engineering, product development, data and analytics, manufacturing, quality, regulatory, IT, and executive leadership teams. Translate emerging AI technologies into practical, enterprise-scale capabilities that improve productivity, accelerate scientific investigation, enhance decision-making, and deliver measurable business outcomes. Evaluate emerging technologies, assess strategic investments, and lead build-versus-buy-versus-partner decisions to maximize business value, innovation potential, and competitive advantage. Build, lead, and scale a high-performing organization of AI engineers, research engineers, architects, scientists, and technical leaders, fostering technical excellence and continuous professional development. Establish organizational structures, operating models, and development practices that support collaboration, experimentation, rapid learning, and the delivery of reusable AI capabilities. Develop AI-enabled environments supporting engineering innovation, scientific discovery, simulation, optimization, knowledge management, and collaborative design workflows. Partner with senior executives and cross-functional stakeholders to align AI investments with organizational priorities, drive transformation, and communicate progress, opportunities, and business impact. Establish strategic relationships with universities, research institutions, technology providers, and industry communities to strengthen innovation pipelines, accelerate research, and attract exceptional talent. Lead recruitment, talent development, and retention initiatives to build a diverse, high-performing technical organization and cultivate future leaders. Promote responsible AI practices, ensuring that AI-enabled capabilities are developed and deployed with appropriate attention to reliability, quality, governance, and business requirements. Monitor advances in artificial intelligence, machine learning, advanced analytics, and scientific computing to identify opportunities for continuous innovation and capability enhancement. Represent the organization in relevant technology communities and contribute to thought leadership, external partnerships, and the advancement of AI-enabled engineering practices. Travel approximately 5–15% of the time to support strategic collaboration, organizational priorities, and external partnerships. Requirements: Bachelor's degree in a technical discipline, with at least 17 years of relevant industry experience. At least 13 years of successful leadership experience in a relevant industry, including demonstrated responsibility for leading technical teams, organizations, or strategic initiatives. Deep expertise in artificial intelligence, machine learning, advanced analytics, scientific computing, engineering platforms, or related technology domains. Proven track record of building, scaling, and leading high-performing technical organizations, including recruiting exceptional talent, developing future leaders, and fostering a culture of technical excellence. Demonstrated success translating emerging technologies into practical, enterprise-scale solutions that generate measurable business value and operational improvements. Experience designing and implementing AI-enabled platforms, tools, or environments that support engineering innovation, scientific discovery, simulation, optimization, knowledge management, or collaborative design. Strong strategic judgment and experience evaluating technology investments, prioritizing initiatives, and making informed decisions about internal development, commercial solutions, and external partnerships. Ability to define and execute long-term technology roadmaps while balancing innovation, organizational priorities, resource allocation, and measurable outcomes. Excellent executive communication and stakeholder management skills, with the ability to explain complex technical concepts to scientific, engineering, business, and executive audiences. Proven ability to influence senior stakeholders, lead organizational transformation, and build alignment across multidisciplinary teams and functions. Experience establishing partnerships with universities, research institutions, technology providers, startups, and industry communities to advance innovation and attract specialized talent. Strong understanding of responsible AI development and the challenges associated with deploying scalable AI capabilities in complex technical or scientific environments. A hands-on technology leadership mindset, combining strategic vision with technical credibility, practical problem-solving, and a commitment to continuous learning. Exceptional collaboration, decision-making, and organizational skills, with the ability to navigate ambiguity and lead teams through evolving technologies and business needs. Preferred: Experience in healthcare technology, medical devices, biosensing, scientific research, or other highly regulated, innovation-driven industries. Preferred: Experience leading AI transformation initiatives across research and development, product engineering, or multidisciplinary scientific organizations. Preferred: A strong record of external collaboration, industry engagement, and thought leadership in AI engineering or related technology fields. Ability to work remotely from a home office within the United States. Employees living within commuting distance of an assigned company site may have access to a hybrid work arrangement, depending on the applicable workplace policy. Benefits: Annual base salary: $267,500–$445,900, depending on experience, qualifications, location, and other applicable compensation factors. Comprehensive benefits package: Access to a broad range of employee benefits designed to support overall health, financial security, and well-being. Healthcare and insurance: Comprehensive benefit offerings, with specific coverage details available through the employer's benefits program. Retirement and financial planning: Access to applicable retirement and financial wellness programs. Flexible work arrangements: Remote work opportunity within the United States, with a potential hybrid option for employees located near an assigned office. Career development: Access to internal learning programs and eligible tuition reimbursement opportunities. Global growth opportunities: The chance to develop leadership expertise and contribute to innovation initiatives with international reach. Executive leadership impact: The opportunity to shape AI strategy, build world-class technical teams, and influence enterprise-wide research and development capabilities. Innovative work environment: Exposure to advanced AI technologies, scientific discovery, engineering innovation, and next-generation healthcare solutions. Meaningful mission: The opportunity to help advance biosensing technologies and develop solutions that can improve health outcomes and quality of life. Collaborative culture: Work alongside experienced engineers, scientists, researchers, and technology leaders in a forward-thinking environment. Travel opportunities: Approximately 5–15% travel to support business priorities, strategic partnerships, and collaboration.