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2026 AI Strategy Lead - Architecting the Future of Intelligence

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 160.000 – USD 230.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are Nexus Horizon Technologies, a pioneer in defining the technological landscape for the coming decade. As we prepare for the massive leap in AI capabilities anticipated in 2026, we are seeking a visionary AI Strategy Lead to architect our next-generation autonomous systems. If you are passionate about the intersection of Generative AI, Predictive Analytics, and Ethical Engineering, this is your chance to build the future.

In this role, you will not just manage technology; you will define the roadmap for how machines interact with the world in 2026 and beyond. You will lead a world-class team in deploying scalable, efficient, and responsible AI models that drive our core business value.

Why Join Us?

  • Shape the future of AI as we approach the 2026 paradigm shift.
  • Work with state-of-the-art hardware and software stacks.
  • Competitive compensation package with equity opportunities.
  • Flexible work environment in the heart of San Francisco.

Responsibilities

  • Architect the 2026 AI Roadmap: Define and oversee the strategic vision for our AI infrastructure, focusing on the evolution from current models to autonomous agents.
  • Lead Model Development: Spearhead the research and implementation of next-generation Large Language Models (LLMs) and multimodal systems.
  • Optimization & Efficiency: Drive technical excellence in model training, fine-tuning, and inference optimization to reduce latency and cost.
  • Ethical AI Governance: Establish and enforce strict guidelines for AI safety, bias mitigation, and responsible data usage.
  • Team Leadership: Mentor a high-performance engineering team, fostering a culture of innovation and continuous learning.
  • Cross-Functional Collaboration: Partner with product, engineering, and legal teams to integrate AI solutions seamlessly into business operations.

Qualifications

  • Experience: 5+ years of experience in AI/ML engineering, with at least 2 years in a leadership or architectural role.
  • Technical Stack: Deep proficiency in Python, PyTorch, TensorFlow, and experience with cloud platforms (AWS/GCP/Azure).
  • Domain Knowledge: Strong understanding of Generative AI, NLP, and vector database architectures.
  • Strategic Mindset: Proven ability to translate complex technical concepts into strategic business roadmaps.
  • Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field.
  • Communication: Exceptional verbal and written communication skills, capable of presenting to C-suite executives.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning NLP LLMs AWS GCP Strategic Planning Team Leadership AI Ethics

Ready to Take This Challenge?

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