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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect: 2026 Roadmap Strategy

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Are you ready to architect the future?

Nexus Horizon Labs is on a mission to define the technological landscape of the 2026 era. We are seeking a visionary Lead AI Architect to spearhead our strategic roadmap and build the next generation of predictive intelligence systems. This is not just a development role; it is a strategic position where you will shape the foundation of our technology for the coming decade.

As a key player in our team, you will bridge the gap between theoretical AI research and scalable, production-ready engineering. You will work closely with C-suite executives and product teams to ensure our 2026 vision translates into tangible, world-changing products.

Why Join Us?

  • Future-Proofing: Work at the forefront of technology planning for the year 2026 and beyond.
  • Global Impact: Deploy AI solutions that will touch millions of lives.
  • Premium Compensation: Competitive salary and equity package.

Responsibilities

  • Define and execute the 2026 AI Technology Roadmap, aligning technical strategy with business goals.
  • Architect and lead the development of scalable Machine Learning and Deep Learning infrastructure.
  • Oversee the migration to next-gen cloud-native AI frameworks, ensuring high availability and security.
  • Collaborate with data scientists to translate complex research into robust production models.
  • Mentor senior engineers and foster a culture of innovation and continuous learning within the engineering team.
  • Evaluate emerging technologies (e.g., AGI, quantum computing interfaces) and integrate them into our product ecosystem.

Qualifications

  • Experience: 10+ years of experience in software engineering, with at least 5 years in leading AI/ML architecture roles.
  • Technical Mastery: Deep expertise in Python, TensorFlow, PyTorch, and distributed computing systems.
  • Strategic Vision: Proven track record of defining long-term technical strategies and roadmaps.
  • Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related field.
  • Leadership: Strong experience managing cross-functional teams and driving technical initiatives from conception to delivery.
  • Problem Solving: Ability to tackle complex, undefined problems with creative and scalable solutions.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning AI Architecture Cloud Computing (AWS/Azure/GCP) System Design Leadership Roadmap Planning

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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