Job Description
Are you ready to define the future of artificial intelligence? Nexus Future Technologies is seeking a visionary Senior AI Strategy Lead to spearhead our roadmap through 2026. In this pivotal role, you will bridge the gap between cutting-edge research and commercial application, ensuring our AI solutions remain at the forefront of innovation.
We are looking for a thought leader who can navigate the complexities of the rapidly evolving AI landscape, drive strategic initiatives, and mentor a world-class team of engineers and data scientists. If you are passionate about building scalable AI systems and shaping the technological trajectory for the next five years, we want to hear from you.
Why Join Us?
- Work on mission-critical projects that define the industry standard.
- Competitive compensation package and equity options.
- Flexible work environment with a focus on autonomy and growth.
Responsibilities
- Lead the strategic development of the 2026 AI roadmap, aligning technical milestones with business objectives.
- Oversee the integration of generative AI and advanced machine learning models into core product ecosystems.
- Define and implement best practices for data governance, model transparency, and ethical AI usage.
- Collaborate with cross-functional teams including product, engineering, and executive leadership.
- Mentor and develop a high-performing team of AI engineers and researchers.
- Conduct market research to identify emerging trends and competitive advantages in the AI sector.
Qualifications
- 10+ years of experience in AI, machine learning, or strategic technology roles, with at least 3 years in a leadership capacity.
- Deep technical understanding of machine learning algorithms, NLP, and computer vision.
- Proven track record of managing large-scale technical projects and budgets.
- Strong communication skills, capable of translating complex technical concepts for diverse stakeholders.
- Master’s degree in Computer Science, Data Science, or a related field (PhD preferred).
- Experience with cloud platforms (AWS, GCP, or Azure) and modern data pipelines.