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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: 2026 Roadmap - San Francisco, CA

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

Job Description

We are on the cusp of a technological renaissance. Nexus Horizon Technologies is seeking a visionary Senior AI Architect to spearhead our roadmap for 2026. In this role, you will define the architectural foundation for next-generation predictive intelligence, ensuring our systems are not just functional today, but revolutionary for the future.

If you possess a deep understanding of machine learning, generative AI, and scalable cloud infrastructure, and you are passionate about shaping the digital landscape of the next decade, we want to meet you.

Why Join Us?

  • Work on cutting-edge projects that redefine industry standards.
  • Competitive compensation package and equity options.
  • Flexible remote-first culture with a vibrant San Francisco hub.

Responsibilities

  • Lead the strategic definition and execution of the 2026 AI roadmap, aligning technical vision with business objectives.
  • Architect and deploy scalable, fault-tolerant machine learning pipelines and generative AI models.
  • Collaborate with data scientists and engineers to optimize model performance and reduce inference latency.
  • Establish best practices for MLOps, ensuring seamless CI/CD integration for AI models.
  • Evaluate emerging technologies (e.g., quantum computing integration, next-gen NLP) and recommend strategic pivots.
  • Mentor junior architects and engineers, fostering a culture of continuous learning and innovation.

Qualifications

  • Master’s degree or PhD in Computer Science, AI, or a related quantitative field (or equivalent professional experience).
  • 10+ years of experience in software engineering with a strong focus on AI and machine learning.
  • Expert proficiency in Python, TensorFlow, PyTorch, or similar ML frameworks.
  • Deep understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
  • Proven track record of leading cross-functional teams and delivering complex technical projects on time.
  • Experience with MLOps tools (MLflow, Kubeflow) and data governance frameworks.

Required Skills

Python Machine Learning Deep Learning TensorFlow PyTorch Cloud Architecture MLOps System Design AI Strategy Generative AI

Ready to Take This Challenge?

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