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Information Technology 🏒 Full Time ⭐️ Verified

Senior Generative AI Strategist (2026 Roadmap)

Nexus Future Labs
San Francisco
Estimated Salary
USD 200.000 – USD 280.000
New
Live Update
12 Juli 2026
Deadline
12 Jul 2027

Job Description

Are you ready to define the technology landscape of 2026?

Nexus Future Labs is at the forefront of the AI revolution, pioneering the tools and systems that will shape the next decade. We are seeking a visionary Senior Generative AI Strategist to join our elite R&D division. In this pivotal role, you will bridge the gap between theoretical AI capabilities and real-world applications, guiding our roadmap to ensure we remain the industry leader through 2026 and beyond.

Why Join Us?

  • Shape the Future: Work on cutting-edge projects that define the Generative AI standard for the coming years.
  • Competitive Compensation: A highly competitive salary package reflecting your expertise and impact.
  • Global Impact: Your work will influence millions of users globally.

If you have a passion for building intelligent systems and a strategic mind for long-term planning, we want to meet you.

Responsibilities

  • Architect Next-Gen Solutions: Design and oversee the development of proprietary Generative AI models and fine-tuning strategies tailored for enterprise scalability.
  • Strategic Roadmap Planning: Define the technical vision and roadmap for 2026, identifying emerging trends in LLMs, multimodal AI, and autonomous agents.
  • Model Optimization: Lead efforts to optimize model inference speed, reduce latency, and improve cost-efficiency for large-scale deployments.
  • Ethical AI Leadership: Establish and enforce internal guidelines for responsible AI, ensuring fairness, transparency, and safety in all generated outputs.
  • Cross-Functional Collaboration: Partner with product managers, engineers, and designers to integrate AI capabilities seamlessly into user experiences.
  • Research & Development: Stay ahead of the curve by conducting deep-dive research into the latest advancements in neural architecture search and reinforcement learning.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
  • Experience: 5+ years of professional experience in AI/ML, with at least 2 years in a senior or lead role focusing on Generative AI or Large Language Models.
  • Technical Proficiency: Deep hands-on experience with PyTorch, TensorFlow, or JAX. Strong understanding of transformer architectures, diffusion models, and RAG (Retrieval-Augmented Generation).
  • Strategic Vision: Demonstrated ability to translate complex technical concepts into actionable business strategies and product features.
  • Communication: Exceptional written and verbal communication skills, capable of presenting complex technical ideas to non-technical stakeholders.
  • Problem Solving: A track record of solving complex, ambiguous problems in dynamic environments.

Required Skills

Generative AI Large Language Models LLMs Python PyTorch TensorFlow Machine Learning Deep Learning NLP AI Strategy Transformer Models RAG Reinforcement Learning Fine-tuning

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

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