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Director of Generative AI & Future Tech

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

We are seeking a visionary Director of Generative AI & Future Tech to architect the next decade of innovation at Nexus Future Labs.

As we accelerate towards our strategic 2026 roadmap, we need a strategic leader who can bridge the gap between theoretical AI breakthroughs and scalable, real-world applications. In this pivotal role, you will define our technical vision, lead a world-class R&D team, and ensure our solutions remain at the forefront of the generative revolution.

Why Join Us?

  • Lead the charge in shaping the AI landscape for 2026 and beyond.
  • Work with state-of-the-art LLMs and multimodal AI architectures.
  • Competitive compensation package and equity options.

Responsibilities

  • Define and execute the comprehensive AI strategy, roadmap, and technical vision through 2026.
  • Lead, mentor, and grow a high-performing cross-functional team of data scientists, ML engineers, and product managers.
  • Oversee the research and development of proprietary Large Language Models (LLMs) and generative media pipelines.
  • Establish rigorous governance frameworks to ensure ethical AI deployment, safety, and compliance.
  • Collaborate with C-suite executives to align AI initiatives with broader business goals and revenue targets.
  • Identify emerging trends (e.g., autonomous agents, neural-symbolic AI) and integrate them into the product ecosystem.

Qualifications

  • 10+ years of experience in technology leadership, with at least 5 years specifically in AI/ML strategy and product management.
  • Deep technical expertise in machine learning algorithms, deep learning, and natural language processing (NLP).
  • Proven track record of managing multi-million dollar budgets and leading large-scale engineering initiatives.
  • Exceptional communication skills with the ability to translate complex technical concepts for executive stakeholders.
  • Master’s degree in Computer Science, Data Science, or a related technical field is highly preferred.

Required Skills

Artificial Intelligence Machine Learning Strategic Planning Team Leadership LLMs Python TensorFlow Ethics in AI Product Strategy Neural Networks

Ready to Take This Challenge?

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