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Director of 2026 AI Readiness | San Francisco, CA

Synthetix 2026
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
26 Mei 2026
Deadline
26 Mei 2027

Job Description

We are Synthetix 2026, a pioneer in next-generation infrastructure. We aren't just building for today; we are architecting the digital reality of 2026 and beyond. As the industry pivots toward autonomous systems and quantum-ready AI, we need a visionary leader to define our compliance, strategy, and architectural roadmap.

The Role:

We are seeking a Director of 2026 AI Readiness to guide our organization through the complex transition to advanced AI governance and futuristic tech standards. You will be the bridge between our engineering teams and regulatory bodies, ensuring our products are future-proof, compliant, and scalable for the 2026 horizon.

Why Join Us?

  • Shape the future of AI infrastructure.
  • Work with cutting-edge technologies including LLMs and Quantum Computing preparation.
  • Competitive equity package and remote-first flexibility.

Key Objectives:

  • Develop and execute the 2026 Technology Roadmap.
  • Ensure 100% compliance with future AI regulations (e.g., EU AI Act adaptation).
  • Lead architectural reviews for autonomous system integration.

Responsibilities

  • Strategic Leadership: Define the long-term technical vision for Synthetix 2026, specifically focusing on AI governance and readiness.
  • Roadmap Execution: Translate business goals into technical roadmaps that align with the 2026 technological landscape.
  • Compliance & Ethics: Establish internal frameworks for ethical AI usage and data privacy.
  • Team Mentorship: Recruit, train, and lead a high-performance team of AI engineers and data scientists.
  • Vendor Management: Evaluate and select third-party AI solutions that meet future-proof standards.
  • Innovation Labs: Spearhead proof-of-concept projects for emerging tech (e.g., Neural Interfaces, Edge Computing).

Qualifications

  • Education: Master’s degree in Computer Science, Data Science, or a related technical field (PhD preferred).
  • Experience: 10+ years in AI/ML engineering with at least 5 years in a leadership or architectural role.
  • Tech Stack: Deep expertise in Python, TensorFlow, PyTorch, and distributed systems.
  • Strategic Vision: Demonstrated ability to anticipate industry trends and prepare organizations for 2026+ standards.
  • Soft Skills: Exceptional communication skills, capable of articulating complex technical concepts to non-technical stakeholders.
  • Regulatory Knowledge: Familiarity with AI ethics, data protection laws, and compliance frameworks.

Required Skills

Artificial Intelligence Machine Learning Python TensorFlow PyTorch AI Governance Strategic Planning Distributed Systems Leadership Quantum Computing Ethical AI

Ready to Take This Challenge?

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