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Information Technology 🏢 Full Time ⭐️ Verified

Lead AI Architect (2026 Tech Readiness)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are defining the infrastructure for the year 2026. Nexus Horizon Labs is seeking a visionary Lead AI Architect to design scalable, future-proof systems that integrate advanced generative AI and quantum-ready workflows.

In this role, you will bridge the gap between theoretical AI capabilities and practical, high-performance engineering. You will lead a team of elite engineers to build the next generation of enterprise software.

Key Highlights:

  • Work on cutting-edge 2026 technology stacks.
  • Competitive compensation and equity packages.
  • Remote-first culture with hubs in SF and NYC.

Responsibilities

  • Architect and implement highly scalable microservices designed for 2026 workloads and AI integration.
  • Lead the technical strategy for integrating Large Language Models (LLMs) and predictive analytics into core products.
  • Define and enforce best practices for code quality, security, and system reliability.
  • Mentor and grow a high-performing engineering team through technical coaching and career planning.
  • Collaborate with product leaders to translate complex business requirements into technical roadmaps.
  • Conduct deep-dive code reviews and architectural assessments to drive innovation.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in a Lead Architect or Senior Engineering role.
  • Expert proficiency in Python, Go, or Rust, with a strong understanding of system design patterns.
  • Proven experience designing distributed systems and managing large-scale cloud infrastructure (AWS, GCP, or Azure).
  • Deep knowledge of containerization technologies (Docker, Kubernetes) and CI/CD pipelines.
  • Strong background in AI/ML model deployment and MLOps pipelines.
  • Exceptional communication skills and the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python Go Rust Kubernetes AWS System Architecture Machine Learning MLOps Microservices Cloud Computing

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