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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Strategic Initiative

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

We are pioneering the future of intelligent systems and are seeking a visionary Senior AI Architect to lead our 2026 Strategic Initiative. In this pivotal role, you will define the technical roadmap for our next-generation autonomous agents and predictive ecosystems. We are not just building software; we are architecting the foundation of the AI-driven reality of 2026 and beyond. If you are passionate about pushing the boundaries of machine learning, large language models, and ethical AI deployment, we want to hear from you.

Why Join Us?

  • Work on cutting-edge projects that define the technological landscape of 2026.
  • Competitive compensation package with equity options.
  • Flexible remote-first culture with a vibrant San Francisco hub.
  • Access to state-of-the-art computing resources and research libraries.

Responsibilities

  • Architect and lead the design of scalable, high-performance AI systems for the 2026 product roadmap.
  • Define and enforce best practices for data governance, model training, and deployment pipelines.
  • Collaborate with cross-functional teams including product managers, engineers, and ethicists to align technical solutions with business goals.
  • Stay ahead of industry trends in Generative AI, Computer Vision, and Natural Language Processing.
  • Conduct deep-dive code reviews and technical mentorship for junior and senior engineers alike.
  • Mentor a high-performing team of ML engineers and data scientists.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in software engineering with at least 5 years focused on AI/ML architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, or similar deep learning frameworks.
  • Proven track record of deploying large-scale machine learning models in production environments.
  • Strong understanding of MLOps, cloud infrastructure (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
  • Excellent communication skills with the ability to translate complex technical concepts to diverse stakeholders.

Required Skills

Python PyTorch TensorFlow MLOps Machine Learning Architecture Cloud Computing Kubernetes AWS Deep Learning Natural Language Processing

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