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Information Technology 🏢 Full Time ⭐️ Verified

Lead AI Architect - 2026 Vision

Nexus 2026 Labs
San Francisco
Estimated Salary
USD 200.000 – USD 280.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to architect the future? Nexus 2026 Labs is looking for a visionary Lead AI Architect to lead our next-generation technology stack. As we prepare for the technological leap into 2026, we need a leader who can bridge the gap between theoretical AI and scalable enterprise solutions.

We are not just building software; we are defining the infrastructure of tomorrow. You will have the autonomy to choose the best tools, set architectural standards, and mentor a team of top-tier engineers.

Our Culture

At Nexus 2026 Labs, we value innovation, transparency, and impact. We offer a flexible remote-first environment, comprehensive health benefits, and a competitive equity package.

Responsibilities

  • Define and implement the high-level architecture for our AI-driven products.
  • Lead the design and development of scalable, distributed systems.
  • Collaborate with product managers and data scientists to translate business needs into technical solutions.
  • Ensure code quality, security, and performance across all engineering teams.
  • Mentor junior and mid-level developers, fostering a culture of continuous learning.
  • Stay ahead of industry trends, specifically focusing on Generative AI and Quantum readiness.

Qualifications

  • 10+ years of software engineering experience with at least 4 years in a leadership or architecture role.
  • Deep expertise in Python, Java, or Go.
  • Proven experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Strong understanding of Machine Learning pipelines and MLOps.
  • Excellent communication skills and the ability to articulate complex technical concepts to non-technical stakeholders.
  • Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s preferred).

Required Skills

Python AWS Kubernetes Machine Learning MLOps System Design Cloud Architecture Docker

Ready to Take This Challenge?

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