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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - Project 2026

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

Job Description

We are seeking a visionary Senior AI Architect to spearhead our groundbreaking initiatives for the Year 2026 roadmap. In this pivotal role, you will design and implement next-generation artificial intelligence systems that redefine industry standards. Join us in building the future of intelligent automation and predictive analytics from the heart of the tech hub.


Why Join Us?
β€’ Work on high-impact projects with global implications.
β€’ Access to cutting-edge hardware and proprietary datasets.
β€’ Competitive compensation package and equity options.
β€’ Flexible remote and hybrid work environment.

Responsibilities

  • Architectural Leadership: Design scalable, robust AI infrastructure designed to meet the demands of 2026 and beyond.
  • Model Development: Lead the research and deployment of advanced machine learning models, including Generative AI and Large Language Models.
  • Strategic Roadmapping: Define the technical vision for the '2026 Initiative', ensuring alignment with business objectives.
  • Team Mentorship: Guide a team of talented data scientists and engineers, fostering a culture of innovation and continuous learning.
  • Performance Optimization: Continuously optimize model latency and accuracy to ensure real-time processing capabilities.
  • Stakeholder Communication: Translate complex technical concepts into actionable insights for executive leadership.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 7+ years of professional experience in AI/ML engineering, with at least 3 years in a senior architectural or lead role.
  • Technical Skills: Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks.
  • Domain Knowledge: Proven track record in NLP, Computer Vision, or Reinforcement Learning.
  • Cloud Proficiency: Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Problem Solving: Exceptional ability to solve complex, ambiguous problems with innovative solutions.

Required Skills

Artificial Intelligence Machine Learning Python TensorFlow PyTorch AWS GCP Docker Kubernetes NLP Computer Vision Deep Learning System Architecture

Ready to Take This Challenge?

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