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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect: The 2026 Horizon Initiative

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Are you ready to architect the future of artificial intelligence? Nexus Future Labs is seeking a visionary Lead AI Architect to spearhead our '2026 Horizon' initiative. We are building the next generation of autonomous systems and generative intelligence, and we need a technical leader who can bridge the gap between theoretical research and scalable production.

In this role, you will define the technical roadmap for our flagship projects, mentor a world-class team of engineers, and ensure our infrastructure can handle the demands of the future. Join us in shaping the technological landscape of 2026.

Responsibilities

  • Architect & Design: Design and implement scalable, high-performance AI architectures focused on Generative Models and Autonomous Agents for the 2026 roadmap.
  • Technical Leadership: Mentor a team of senior ML engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Roadmap Execution: Collaborate with product and executive leadership to define technical milestones and deliverables for the upcoming fiscal year.
  • Model Optimization: Drive research into model efficiency, reducing latency and computational costs for large-scale deployment.
  • System Integration: Oversee the integration of AI solutions into broader enterprise ecosystems, ensuring seamless interoperability.
  • Security & Ethics: Establish frameworks for AI safety, bias mitigation, and ethical AI usage in production environments.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 8+ years of experience in software engineering and at least 4 years in a leadership role designing complex machine learning systems.
  • Technical Skills: Deep expertise in Python, PyTorch, or TensorFlow; experience with Large Language Models (LLMs) and Reinforcement Learning.
  • Cloud Proficiency: Strong background in cloud infrastructure (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Strategic Vision: Proven ability to translate business goals into technical strategy and deliver results under tight deadlines.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning System Architecture Generative AI LLMs TensorFlow PyTorch Cloud Computing Kubernetes Leadership AWS GCP

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