Job Description
Join QuantumLeap Technologies at the forefront of AI evolution as we shape the 2026 digital landscape. We're seeking a visionary AI Strategy Director to architect our next-generation AI ecosystem. This pivotal role demands a blend of technical acumen and strategic foresight to transform cutting-edge research into industry-defining solutions. You'll lead cross-functional teams in developing AI roadmaps that align with our mission to democratize intelligent automation while maintaining rigorous ethical standards.
Our ideal candidate thrives at the intersection of innovation and pragmatism, leveraging emerging technologies to solve complex business challenges. You'll collaborate with C-suite executives to define AI governance frameworks and drive adoption across global markets. This position offers unparalleled opportunities to influence the future of human-AI interaction in an award-winning, forward-thinking environment.
Responsibilities
- Architect and execute 2026 AI strategy roadmap, aligning with long-term business objectives
- Lead cross-functional teams in developing generative AI and machine learning solutions
- Establish AI governance frameworks ensuring ethical deployment and regulatory compliance
- Drive AI adoption across product lines, enhancing customer experiences and operational efficiency
- Identify emerging AI technologies and assess their strategic relevance to QuantumLeap
- Present AI initiatives to investors, board members, and key stakeholders
- Mentor senior technical staff in advanced AI methodologies and implementation best practices
Qualifications
- 10+ years in AI/ML leadership roles with proven track record in strategic planning
- Expertise in generative AI, large language models, and neural network architectures
- Deep understanding of AI ethics, bias mitigation, and regulatory landscapes (GDPR, CCPA)
- Experience scaling AI initiatives across enterprise environments
- Strong business acumen with ability to translate technical concepts into commercial value
- PhD or Master's in Computer Science, AI, or related field preferred
- Published research in top-tier AI conferences (NeurIPS, ICML, etc.)
- Fluency in Python, TensorFlow/PyTorch, and cloud AI services (AWS/GCP/Azure)