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Senior AI Architect 2026 - San Francisco

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Are you ready to architect the future of intelligent systems? Nexus Horizon is seeking a visionary Senior AI Architect to lead our roadmap for 2026. In this role, you will define the architectural blueprints for next-generation artificial intelligence, integrating quantum-ready systems and advanced neural networks.

We are looking for a thought leader who doesn't just write code but designs ecosystems that define the future of human-machine interaction. If you thrive in ambiguity and have a passion for pushing the boundaries of what's possible in 2026, we want to hear from you.

Responsibilities

  • Architect Next-Gen AI Systems: Design scalable, fault-tolerant, and future-proof AI architectures capable of handling quantum computing integration.
  • Lead Technical Roadmap: Define the strategic technical vision for our 2026 product suite, ensuring alignment with business goals.
  • Model Optimization: Oversee the deployment and fine-tuning of Large Language Models (LLMs) and generative AI tools.
  • Cross-Functional Collaboration: Partner with product managers, data scientists, and engineers to translate complex requirements into technical solutions.
  • Code Review & Mentorship: Establish rigorous code quality standards and mentor a team of high-performing engineers.
  • Ethical AI Implementation: Ensure all systems adhere to strict ethical guidelines and bias mitigation protocols.

Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field (PhD preferred).
  • Experience: 8+ years of experience in software engineering, with at least 4 years in a senior architectural or lead role.
  • Technical Stack: Deep proficiency in Python, PyTorch, TensorFlow, and modern cloud infrastructure (AWS/Azure/GCP).
  • AI Expertise: Proven track record of designing and implementing production-grade Machine Learning pipelines.
  • Problem Solving: Exceptional ability to troubleshoot complex, distributed system issues under pressure.
  • Leadership: Demonstrated experience in leading diverse engineering teams and driving technical innovation.

Required Skills

Python TensorFlow AWS Machine Learning Cloud Architecture System Design Kubernetes Agile Leadership

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