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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect: 2026 Horizon Initiative | San Francisco, CA

Nexus Future Labs
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Are you ready to architect the future? Nexus Future Labs is seeking a visionary Lead AI Architect to spearhead our 2026 Horizon Initiative. We are not just building software; we are defining the technological landscape for the next decade. As part of our elite technical team, you will design the scalable infrastructure and AI models that will power our global platform.

In this role, you will bridge the gap between theoretical AI research and production-grade engineering, ensuring our systems are robust, secure, and future-proof.

Responsibilities

  • Architectural Leadership: Define and drive the technical vision for the 2026 Horizon product suite, ensuring high availability and scalability.
  • System Design: Design complex distributed systems and deep learning architectures that can handle millions of transactions.
  • Team Mentorship: Guide a team of senior engineers and data scientists, fostering a culture of innovation and excellence.
  • Research Integration: Evaluate and integrate cutting-edge AI research into practical, production-ready applications.
  • Performance Optimization: Continuously monitor system performance and implement optimizations to improve latency and throughput.
  • Cross-Functional Collaboration: Work closely with product managers and stakeholders to translate business goals into technical roadmaps.
  • Security & Compliance: Ensure all architectural decisions adhere to strict security protocols and industry standards.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 10+ years of experience in software engineering, with at least 5 years in a Lead Architect or Principal Engineer role.
  • Tech Stack: Proficiency in Python, TensorFlow, PyTorch, and cloud platforms (AWS/GCP/Azure).
  • System Design: Deep understanding of distributed systems, microservices, and containerization (Kubernetes/Docker).
  • Leadership: Proven track record of leading high-performing engineering teams through complex technical challenges.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.
  • Problem Solving: Strong analytical skills with a focus on architectural trade-offs and long-term scalability.

Required Skills

Python Machine Learning System Design Cloud Architecture AWS Kubernetes TensorFlow Leadership AI Strategy

Ready to Take This Challenge?

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