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Senior AI & Future Tech Lead (2026)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Shape the Future of Technology in 2026

Nexus Horizon Labs is seeking a visionary Senior AI & Future Tech Lead to architect the next generation of intelligent systems. As we prepare for the technological landscape of 2026, we need a leader who can bridge the gap between cutting-edge research and scalable production solutions. This role is critical in defining our roadmap for autonomous systems, advanced generative AI, and quantum-ready infrastructures.

Why This Role Matters

You will be at the helm of our R&D division, guiding a team of elite engineers and data scientists. Your work will directly influence how businesses interact with AI in the near future. We offer a competitive compensation package, equity options, and the autonomy to drive high-impact projects.

Responsibilities

  • Define and execute the long-term AI strategy for the 2026 roadmap, ensuring alignment with business goals.
  • Lead and mentor a cross-functional team of machine learning engineers, data scientists, and product managers.
  • Architect scalable, secure, and high-performance AI systems capable of handling millions of concurrent requests.
  • Oversee the integration of emerging technologies, including neural interfaces and edge computing.
  • Collaborate with C-suite executives to communicate complex technical concepts and drive strategic decision-making.
  • Establish best practices for code quality, testing, and deployment in a fast-paced environment.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in a leadership role within AI or Machine Learning.
  • Master’s degree in Computer Science, Artificial Intelligence, or a related field (PhD is a plus).
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks (Kubernetes, AWS).
  • Proven track record of delivering complex technical products from concept to market launch.
  • Strong understanding of ethical AI, data privacy regulations, and responsible innovation practices.

Required Skills

Python TensorFlow Machine Learning AI Architecture Cloud Computing Leadership Data Science NLP Distributed Systems

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