Home Job Details
N
Information Technology 🏒 Full Time ⭐️ Verified

Director of AI Strategy & Engineering (2026 Vision)

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

Job Description

Are you ready to define the technological landscape of 2026? Nexus Horizon Technologies is seeking a visionary Director of AI Strategy & Engineering to spearhead our next-generation research initiatives. We are building the infrastructure for the next era of synthetic intelligence, autonomous systems, and deep learning scalability.

In this pivotal role, you will bridge the gap between theoretical research and scalable production, ensuring our AI ecosystems are robust, ethical, and future-proof. As we look toward the horizon of 2026, we need a leader who can navigate the complexities of AGI (Artificial General Intelligence) development while maintaining strict governance standards.

Why Join Us?

  • Shape the roadmap for AGI and advanced machine learning models leading into 2026.
  • Work in a state-of-the-art R&D facility in the heart of San Francisco.
  • Competitive compensation package including equity and performance bonuses.
  • Access to cutting-edge compute resources and proprietary datasets.

Responsibilities

  • Strategic Leadership: Define the technical vision and 5-year roadmap for AI products, specifically targeting the capabilities required for 2026.
  • R&D Management: Lead a high-performance team of ML engineers, data scientists, and researchers in developing proprietary algorithms and neural architectures.
  • Cross-Functional Collaboration: Partner with product, engineering, and legal teams to integrate advanced AI into core business solutions while ensuring compliance.
  • Compliance & Ethics: Establish governance frameworks for AI safety, bias mitigation, and data privacy in accordance with emerging regulations.
  • Talent Acquisition: Recruit top-tier engineering talent to build and maintain a world-class AI research lab.

Qualifications

  • Experience: 10+ years in software engineering with 5+ years in AI/ML leadership roles.
  • Education: Master’s or PhD in Computer Science, Mathematics, or a related technical field.
  • Technical Mastery: Deep understanding of Deep Learning, NLP, Large Language Models (LLMs), and Reinforcement Learning.
  • Strategic Mindset: Proven ability to translate complex technical concepts into actionable business strategy and executive presentations.
  • Communication: Exceptional public speaking skills for executive stakeholders and technical writing capabilities.

Required Skills

Artificial Intelligence Machine Learning Deep Learning Strategic Planning Python TensorFlow Leadership Research and Development NLP

Ready to Take This Challenge?

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

Apply Now

Related Jobs

Similar job recommendations for you

View All