Job Description
Join QuantumLeap Technologies at the forefront of 2026's technological revolution! We're seeking a visionary AI Strategy Director to architect our next-generation AI ecosystem. This pivotal role demands a forward-thinker who can transform emerging AI capabilities into scalable business solutions. You'll lead cross-functional teams in developing ethical AI frameworks, drive innovation incubation, and position QuantumLeap as the industry's thought leader in autonomous systems and predictive intelligence.
Our San Francisco headquarters offers an unparalleled environment for disruption, with cutting-edge labs and collaboration spaces designed for the innovators of tomorrow. If you're passionate about shaping how humanity interacts with artificial intelligence in the coming decade, this is your moment.
Responsibilities
- Architect and execute enterprise-wide AI strategy aligned with 2026 market trends
- Lead development of ethical AI governance frameworks and responsible innovation protocols
- Drive cross-functional collaboration between AI research, engineering, and business units
- Identify and capitalize on emerging AI disruptors (quantum computing integration, AGI pathways)
- Oversee implementation of predictive analytics platforms for autonomous decision-making
- Present AI roadmaps to C-suite and board members with measurable ROI projections
- Establish strategic partnerships with AI research institutions and regulatory bodies
Qualifications
- 10+ years in AI/ML strategy with 5+ years in director-level leadership
- Proven track record in scaling AI initiatives to enterprise level (>$100M impact)
- Expertise in federated learning, explainable AI, and ethical AI frameworks
- Deep understanding of quantum computing's implications for AI development
- Published research or patents in advanced AI methodologies preferred
- Experience navigating regulatory landscapes for autonomous systems
- MBA or advanced degree in Computer Science/Engineering required
- Fluency in AI development frameworks (PyTorch, TensorFlow) and cloud platforms