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Information Technology 🏒 Full Time ⭐️ Verified

Senior Lead AI Architect - Project 2026

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

Job Description

We are pioneering the future of intelligent infrastructure with our flagship Project 2026 ecosystem. As a Senior Lead AI Architect, you will define the architectural blueprint for next-generation neural networks and scalable AI solutions that will power the enterprise of tomorrow.

Why Join Us?

  • Work on the bleeding edge of AI technology.
  • Competitive compensation and equity packages.
  • Flexible remote-first policy with HQ in San Francisco.
  • Opportunity to mentor a world-class engineering team.

At Nexus 2026 Technologies, we don't just predict the future; we build it. We are looking for a visionary architect to lead our core engineering division.

Responsibilities

  • Architect and design the core infrastructure for the Project 2026 AI framework, ensuring scalability and high availability.
  • Lead the research and development of advanced machine learning models, focusing on generative AI and predictive analytics.
  • Collaborate with cross-functional teams (Product, Data Science, DevOps) to translate business requirements into technical solutions.
  • Establish coding standards, review architectural designs, and conduct technical mentoring for junior engineers.
  • Optimize existing systems for performance, latency, and cost efficiency in cloud environments.
  • Identify and mitigate technical risks within the development lifecycle.
  • Stay ahead of industry trends to integrate emerging technologies into the 2026 stack.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related technical field (or equivalent practical experience).
  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture leadership roles.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks.
  • Proven track record of designing large-scale systems that handle millions of requests per second.
  • Strong proficiency in cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Excellent communication skills with the ability to present complex technical concepts to non-technical stakeholders.
  • Familiarity with quantum computing libraries is a plus.

Required Skills

Python TensorFlow PyTorch Kubernetes AWS Machine Learning Deep Learning System Architecture Cloud Computing AI/ML Engineering

Ready to Take This Challenge?

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

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