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Information Technology 🏒 Full Time ⭐️ Verified

Chief AI Strategist: 2026 Roadmap Lead

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to define the future of intelligence?

Nexus Horizon Systems is at the forefront of the next technological revolution. We are seeking a visionary Chief AI Strategist to architect the definitive roadmap for our 2026 AI ecosystem. This is not just a technical role; it is a strategic leadership position where you will shape the trajectory of Artificial General Intelligence (AGI) adoption in enterprise sectors.

In this pivotal role, you will bridge the gap between cutting-edge research and scalable production systems. You will lead a cross-functional team of engineers, ethicists, and product designers to ensure our infrastructure is ready for the demands of 2026 and beyond.

Responsibilities

  • Define the 2026 Vision: Develop a comprehensive, long-term technical roadmap for AI integration, specifically targeting AGI readiness and multimodal capabilities by 2026.
  • Architect Scalable Systems: Lead the design and implementation of high-availability, distributed AI infrastructure capable of processing exabytes of data.
  • Ethical AI Governance: Establish and enforce strict ethical frameworks and bias mitigation strategies to ensure responsible AI deployment.
  • Strategic Partnerships: Collaborate with C-suite executives to align AI initiatives with broader business goals and market opportunities.
  • Team Leadership: Mentor and inspire a high-performing team of AI researchers, data scientists, and software engineers.
  • Market Analysis: Monitor global AI trends and competitor movements to maintain a competitive edge in the 2026 landscape.

Qualifications

  • Education: Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
  • Experience: 10+ years of experience in AI/ML, with at least 5 years in a senior leadership or strategic role.
  • Technical Mastery: Deep expertise in Deep Learning, Neural Networks, and Large Language Models (LLMs).
  • System Design: Proven track record of architecting large-scale cloud-native systems (AWS, Azure, or GCP).
  • Strategic Mindset: Ability to translate complex technical concepts into actionable business strategies.
  • Communication: Exceptional public speaking and written communication skills for stakeholder engagement.

Required Skills

Artificial Intelligence Machine Learning Strategic Planning System Architecture Deep Learning Python Cloud Computing Ethical AI Leadership

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