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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Strategy Architect | 2026 Vision

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are pioneering the future of intelligent systems. Nexus Horizon Technologies is looking for a visionary Senior AI Strategy Architect to lead our R&D division and define the technological roadmap for 2026 and beyond.

In this pivotal role, you won't just implement existing models; you will architect the infrastructure for next-generation generative AI, neural interfaces, and sustainable computing solutions. If you are passionate about shaping the digital landscape of the future, we want to hear from you.

Why Join Us?

  • Work on cutting-edge projects that define the next decade of technology.
  • Competitive compensation package with equity options.
  • Flexible remote-first culture with quarterly in-person innovation summits.

Responsibilities

  • Lead the architectural design of scalable AI models targeting deployment by 2026.
  • Collaborate with cross-functional teams (Data Science, Engineering, Product) to translate business goals into technical roadmaps.
  • Oversee the integration of ethical AI frameworks and bias mitigation strategies.
  • Pioneer research in Large Language Models (LLMs) and autonomous agents.
  • mentor junior engineers and foster a culture of continuous learning and innovation.
  • Conduct market analysis to identify emerging tech trends relevant to the 2026 landscape.

Qualifications

  • 10+ years of experience in software engineering, with 5+ years in AI/ML architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed computing systems.
  • Strong understanding of Generative AI, Natural Language Processing (NLP), and Computer Vision.
  • Proven track record of leading technical teams in high-growth environments.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).

Required Skills

Artificial Intelligence Machine Learning Deep Learning Python PyTorch Cloud Computing System Architecture Leadership Generative AI NLP

Ready to Take This Challenge?

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