Job Description
Are you ready to shape the future of technology? Nexus Horizon Inc. is pioneering the Project 2026 initiative, a groundbreaking roadmap designed to revolutionize the artificial intelligence landscape. We are looking for a visionary Senior AI Strategy Lead to guide our technical direction and bridge the gap between complex engineering and high-level business objectives.
As a key member of our leadership team, you will define the strategic vision for our AI advancements, ensuring we stay ahead of the curve in a rapidly evolving market. If you possess a deep understanding of machine learning architectures and the ability to translate technical insights into actionable business strategies, this is your opportunity to make a lasting impact.
Responsibilities
- Develop and execute the comprehensive Project 2026 strategic roadmap, aligning technical goals with company vision.
- Lead cross-functional teams of data scientists, engineers, and product managers to deliver high-impact AI solutions.
- Identify emerging technologies and market trends to drive innovation and competitive advantage.
- Oversee the integration of advanced AI models into existing infrastructure, ensuring scalability and efficiency.
- Communicate complex technical concepts to stakeholders at all levels, fostering a culture of transparency.
- Define key performance indicators (KPIs) to measure the success of AI initiatives and drive continuous improvement.
- Manage budget allocation and resource planning for long-term AI projects.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
- Minimum of 8 years of experience in AI/ML strategy, with at least 3 years in a leadership role.
- Deep technical proficiency in Python, TensorFlow, PyTorch, and cloud platforms (AWS/Azure/GCP).
- Proven track record of successfully leading large-scale AI transformation projects.
- Exceptional analytical and problem-solving skills with a focus on strategic outcomes.
- Strong communication skills, with the ability to influence diverse teams and executive stakeholders.
- Experience with ethical AI practices and regulatory compliance.