Job Description
The Opportunity
We are looking for a visionary Senior AI & Future Tech Strategist to join Nexus Horizon. As we look toward the technological landscape of 2026, our mission is to integrate cutting-edge artificial intelligence and predictive modeling into our core infrastructure. You won't just be maintaining legacy systems; you will be architecting the roadmap for the next era of digital innovation.
In this role, you will bridge the gap between high-level business strategy and technical execution. You will lead a cross-functional team of engineers, data scientists, and product managers to deliver scalable AI solutions that define our market leadership. If you are passionate about shaping the future and have a knack for translating complex data into actionable business intelligence, this is your stage.
Why Nexus Horizon?
- Impactful Work: Directly influence the technical trajectory of a global leader.
- Future-Forward Culture: We embrace experimentation and long-term thinking.
- Top-Tier Compensation: Competitive salary, equity packages, and benefits.
Responsibilities
- Strategic Roadmap: Define and execute the AI and automation strategy for the 2026 fiscal cycle, aligning technical milestones with business objectives.
- Leadership: Mentor a high-performance team of engineers and data scientists, fostering a culture of innovation and continuous improvement.
- Architecture: Oversee the design and implementation of scalable machine learning models and data pipelines.
- Stakeholder Management: Act as the primary technical advisor to C-suite executives, translating complex technical concepts into clear business value.
- Integration: Lead the integration of emerging technologies (e.g., Generative AI, Predictive Analytics) into existing workflows to drive efficiency.
- Performance Analysis: Monitor system performance and model accuracy, implementing rigorous testing and optimization protocols.
Qualifications
- Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field; MBA is a plus.
- Experience: 8+ years of experience in software engineering, AI/ML development, or technical product management.
- Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and cloud platforms (AWS/Azure/GCP).
- Strategic Mindset: Demonstrated ability to think several years ahead (2026+) and plan for long-term technical debt and scalability.
- Communication: Exceptional verbal and written communication skills with the ability to influence diverse audiences.
- Problem Solving: Proven track record of solving complex, ambiguous problems using data-driven methodologies.