Job Description
The Future is Now. Are You Ready to Architect It?
Nexus Horizon is seeking a visionary Senior AI Strategy Architect to define our technological roadmap leading up to 2026 and beyond. In this pivotal role, you will bridge the gap between cutting-edge research and scalable production systems, ensuring our AI infrastructure remains at the forefront of innovation.
We are looking for a thought leader who not only understands the code but also the strategic implications of AI evolution. You will be the primary architect behind our 2026 vision, shaping the next generation of intelligent solutions.
Why Join Nexus Horizon?
- Work on high-impact, global projects that define the future.
- Competitive compensation package and equity options.
- Access to state-of-the-art research facilities and AI hardware.
- Collaborate with industry pioneers and top-tier talent.
Key Responsibilities:
- Define and execute the long-term technical roadmap for AI infrastructure, specifically targeting 2026 capabilities.
- Lead R&D initiatives to explore emerging AI paradigms (e.g., AGI, Neuromorphic Computing).
- Architect scalable machine learning pipelines that integrate with legacy systems.
- Mentor senior engineering teams and foster a culture of innovation.
- Collaborate with product leadership to translate technical vision into business strategy.
Qualifications:
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- 10+ years of experience in AI/ML engineering and architectural roles.
- Proven track record of leading teams through major technical transformations.
- Deep expertise in Python, TensorFlow, PyTorch, and distributed systems.
- Exceptional strategic thinking and communication skills.
Responsibilities
- Define and execute the long-term technical roadmap for AI infrastructure, specifically targeting 2026 capabilities.
- Lead R&D initiatives to explore emerging AI paradigms (e.g., AGI, Neuromorphic Computing).
- Architect scalable machine learning pipelines that integrate with legacy systems.
- Mentor senior engineering teams and foster a culture of innovation.
- Collaborate with product leadership to translate technical vision into business strategy.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- 10+ years of experience in AI/ML engineering and architectural roles.
- Proven track record of leading teams through major technical transformations.
- Deep expertise in Python, TensorFlow, PyTorch, and distributed systems.
- Exceptional strategic thinking and communication skills.