Job Description
Are you ready to define the technological landscape of the future? Nexus Horizon Labs is seeking a visionary Lead AI Strategist to spearhead our '2026 Initiative,' a massive R&D project focused on the next generation of generative intelligence and autonomous systems.
In this pivotal role, you will bridge the gap between cutting-edge research and commercial application, ensuring our infrastructure is ready for the year 2026 and beyond. You will work with a world-class team of engineers, data scientists, and futurists to build scalable solutions that solve complex problems before they arise.
Why Join Us?
We are not just building software; we are architecting the future. As a key player in our 2026 roadmap, you will have the autonomy to make high-impact decisions, influence company-wide strategy, and work with state-of-the-art technology.
In this pivotal role, you will bridge the gap between cutting-edge research and commercial application, ensuring our infrastructure is ready for the year 2026 and beyond. You will work with a world-class team of engineers, data scientists, and futurists to build scalable solutions that solve complex problems before they arise.
Why Join Us?
We are not just building software; we are architecting the future. As a key player in our 2026 roadmap, you will have the autonomy to make high-impact decisions, influence company-wide strategy, and work with state-of-the-art technology.
Responsibilities
- Define and execute the company's comprehensive 2026 AI and Machine Learning roadmap.
- Lead cross-functional teams in developing autonomous systems and predictive analytics platforms.
- Identify emerging technologies and trends relevant to the 2026 technological horizon.
- Oversee the architecture of scalable cloud-native solutions for future scalability.
- Collaborate with product management to translate 2026 vision into tangible product features.
- Establish partnerships with academic institutions and industry leaders in future tech.
- Drive innovation labs focused on speculative technologies and their practical application.
Qualifications
- 10+ years of experience in Artificial Intelligence, Machine Learning, or a related technical field.
- Proven track record of leading complex R&D initiatives or large-scale software architecture projects.
- Deep expertise in Generative AI, Natural Language Processing, or Computer Vision.
- Strong understanding of ethical AI, bias mitigation, and responsible innovation.
- Excellent communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
- Experience managing teams of 5+ engineers and data scientists.
- Strategic thinker with a demonstrated ability to plan for long-term technological shifts.