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Head of Synthetic Intelligence & Future Systems

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Are you ready to architect the reality of 2026?

Nexus Horizon Technologies is pioneering the next generation of synthetic intelligence. We are looking for a visionary Head of Synthetic Intelligence to lead our R&D division into a future where AI is not just a tool, but a core pillar of human evolution.

In this pivotal role, you will define the strategic roadmap for our autonomous systems and predictive modeling engines. You won't just be managing code; you will be shaping the ethical frameworks and architectural blueprints for the technologies that will define the year 2026 and beyond.

Join a team of elite engineers and futurists committed to pushing the boundaries of what is possible.

Responsibilities

  • Strategic Vision: Define and execute the long-term technical roadmap for synthetic intelligence and autonomous agents, ensuring alignment with 2026 market demands.
  • Architecture Leadership: Design scalable, high-performance neural architectures that can handle multi-modal data streams in real-time.
  • Ethical Oversight: Establish and enforce rigorous ethical guidelines and safety protocols for advanced AI deployment to prevent bias and ensure responsible innovation.
  • R&D Management: Lead a world-class team of data scientists and machine learning engineers in cutting-edge research projects involving generative models and quantum computing integration.
  • Stakeholder Communication: Translate complex technical concepts into compelling narratives for investors, board members, and industry partners.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 10+ years of experience in AI/ML, with at least 5 years in a senior leadership or architectural role.
  • Technical Expertise: Deep understanding of deep learning frameworks (TensorFlow, PyTorch), natural language processing (NLP), and computer vision.
  • Future-Proofing: Demonstrated ability to anticipate technological shifts and adapt systems for the evolving landscape of 2026.
  • Leadership: Proven track record of managing cross-functional teams and delivering complex technical products on time.

Required Skills

Artificial Intelligence Machine Learning Neural Networks Python TensorFlow Strategic Planning Leadership Deep Learning Ethics in AI Data Science

Ready to Take This Challenge?

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