Job Description
We are building the infrastructure for tomorrow. As the AI Strategy Lead (2026 Roadmap), you will be at the forefront of defining how artificial intelligence will evolve and integrate into our core products by 2026.
Our mission is to pioneer the next generation of generative AI and machine learning solutions. In this role, you will bridge the gap between technical feasibility and business strategy, ensuring our roadmap aligns with industry trends and user needs. You will lead a world-class team of data scientists and engineers, driving innovation that scales.
Why Join Us?
- Shape the future of technology in the 2026 era.
- Work with cutting-edge technologies in a high-growth environment.
- Competitive compensation and equity package.
Responsibilities
- Define and execute the comprehensive AI strategy roadmap leading up to 2026, aligning technical milestones with business objectives.
- Lead the research and development of advanced machine learning models, focusing on scalability and efficiency.
- Collaborate with cross-functional teams including product management, engineering, and design to integrate AI solutions seamlessly.
- Establish ethical guidelines and compliance standards for AI deployment, ensuring responsible innovation.
- Mentor and grow a high-performing team of data scientists and AI engineers.
- Monitor market trends and competitive landscape to identify new opportunities for AI integration.
Qualifications
- 10+ years of experience in Artificial Intelligence, Machine Learning, or a related technical field.
- Proven track record of leading AI strategy and architectural initiatives in large-scale environments.
- Strong expertise in deep learning frameworks (TensorFlow, PyTorch) and cloud platforms (AWS, GCP, Azure).
- Experience with generative AI models (LLMs, diffusion models) and prompt engineering.
- Excellent communication skills, with the ability to translate complex technical concepts for non-technical stakeholders.
- Master’s degree or PhD in Computer Science, Engineering, or a quantitative discipline is highly preferred.