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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: Horizon 2026 Strategy

Nexus Horizons
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

We are seeking a visionary Senior AI Architect to spearhead our Horizon 2026 technology roadmap. In this pivotal role, you will define the architectural foundation for next-generation artificial intelligence systems, ensuring our solutions remain at the bleeding edge of innovation. You will work closely with cross-functional leadership to bridge the gap between theoretical future tech and practical implementation.

Why join us? We are a forward-thinking organization committed to building the digital infrastructure of tomorrow. You will have the autonomy to experiment with cutting-edge technologies and the resources to turn bold ideas into reality.

Responsibilities

  • Architect Future-Ready Systems: Design scalable, secure, and robust AI architectures that anticipate the demands of the 2026 landscape.
  • Strategic Roadmapping: Lead the R&D strategy for emerging technologies, including Generative AI, Quantum Computing interfaces, and Edge AI.
  • Innovation Leadership: Identify and prototype novel algorithms and machine learning models that solve complex, unstructured problems.
  • Team Mentorship: Guide a team of senior engineers and data scientists, fostering a culture of technical excellence and continuous learning.
  • Stakeholder Communication: Translate complex technical concepts into clear business value for C-suite executives and product managers.
  • Compliance & Ethics: Ensure all AI deployments adhere to strict ethical guidelines and data privacy regulations.

Qualifications

  • Experience: 8+ years of software engineering and 5+ years of specialized experience in AI/ML architecture.
  • Education: Master’s degree in Computer Science, Artificial Intelligence, or a related field (PhD preferred).
  • Technical Stack: Deep expertise in Python, TensorFlow, PyTorch, and distributed computing systems (Kubernetes, AWS/Azure/GCP).
  • Future Tech Insight: Demonstrated understanding of the future tech landscape, specifically regarding LLMs, Neural Architecture Search, and reinforcement learning.
  • Problem Solving: Proven ability to architect solutions for high-concurrency, high-availability environments.
  • Communication: Exceptional verbal and written communication skills with the ability to influence diverse teams.

Required Skills

AI Architecture Machine Learning Python Cloud Computing Distributed Systems Strategy Research Leadership

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