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Senior AI Strategist 2026 - Architecting the Future

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

Job Description

Join the Vanguard of the 2026 Era.

Nexus Horizon Labs is seeking a visionary Senior AI Strategist to define the technological roadmap for the year 2026. In this high-impact role, you will bridge the gap between cutting-edge artificial intelligence research and scalable business solutions. We are not just preparing for the future; we are actively architecting the infrastructure that will define it.

As a Senior AI Strategist, you will lead initiatives that harness the power of generative AI, ethical frameworks, and next-generation computing. You will work alongside world-class engineers and product leaders to ensure our AI solutions are robust, scalable, and transformative.

Responsibilities

  • Define and execute the company's comprehensive 2026 AI roadmap, aligning technical innovation with long-term business objectives.
  • Lead cross-functional teams in the research, design, and deployment of advanced Large Language Models (LLMs) and generative AI agents.
  • Establish rigorous governance frameworks for ethical AI usage, ensuring compliance with evolving global standards and bias mitigation protocols.
  • Conduct deep-dive competitive analysis to identify emerging trends in the 2026 tech ecosystem and capitalize on first-mover advantages.
  • Collaborate with executive leadership to translate complex technical strategies into compelling narratives for investors and stakeholders.
  • Oversee the integration of AI-driven analytics to optimize operational efficiency and drive revenue growth.

Qualifications

  • 10+ years of experience in artificial intelligence, machine learning, or a related strategic technology field.
  • Proven track record of leading high-impact technology projects from concept through to production-scale deployment.
  • Advanced degree (Master’s or PhD) in Computer Science, Engineering, Data Science, or a related quantitative discipline.
  • Deep understanding of AI ethics, responsible AI principles, and the ability to implement complex compliance frameworks.
  • Exceptional communication and leadership skills with the ability to influence and guide cross-functional teams.
  • Experience with cloud infrastructure (AWS, Azure, GCP) and modern software development lifecycle (SDLC).

Required Skills

Artificial Intelligence Machine Learning Strategic Planning Leadership Ethics Python Cloud Architecture NLP Data Science Agile Methodologies

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