Job Description
Join Nexus Dynamics at the forefront of technological evolution as we architect the AI landscape for 2026. We're seeking a visionary AI Strategy Lead to define our next-generation AI roadmap and transform how industries leverage artificial intelligence. This role demands a blend of technical acumen and strategic foresight to position our company as the global leader in autonomous systems and predictive analytics. You'll collaborate with C-suite executives, lead cross-functional teams, and shape policies that will define the next era of human-AI collaboration.
Our Austin hub is a crucible of innovation where your expertise will directly impact product development, ethical AI frameworks, and market expansion strategies. We offer unparalleled resources, a culture of intellectual curiosity, and the opportunity to leave an indelible mark on the future of technology.
Responsibilities
- Design and execute the 2026 AI strategic roadmap aligning with market trends and business objectives
- Lead the development of next-gen autonomous systems and predictive analytics frameworks
- Champion ethical AI principles while driving innovation in machine learning and natural language processing
- Collaborate with product, engineering, and policy teams to transform strategy into scalable solutions
- Conduct competitive analysis and market research to identify emerging AI opportunities
- Present strategic vision to stakeholders and secure executive buy-in for major initiatives
- Mentor a team of AI specialists and foster a culture of continuous learning
Qualifications
- 10+ years in AI/ML strategy with proven experience in autonomous systems development
- Deep expertise in predictive analytics, neural networks, and generative AI
- Track record of leading cross-functional teams through complex technical transformations
- Strong background in AI ethics, regulatory compliance, and responsible AI frameworks
- Exceptional strategic thinking with ability to translate market insights into actionable plans
- Experience with product lifecycle management from ideation to commercialization
- Advanced degree in Computer Science, AI, or related field; PhD preferred
- Published research or patents in AI/ML innovation highly desirable