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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect: 2026 Vision

Nebula Logic Systems
Austin
Estimated Salary
USD 180.000 – USD 260.000
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Are you ready to define the technological landscape of 2026 and beyond? Nebula Logic Systems is seeking a visionary Senior AI Architect to lead our next-generation development initiatives. In this pivotal role, you will not just build software; you will architect the future of intelligent systems, ensuring our solutions are scalable, robust, and ahead of the curve.

Join a team of elite engineers and researchers committed to pushing the boundaries of what is possible. We value innovation, autonomy, and a passion for solving complex problems that shape tomorrow.

Why Join Us?

  • Future-Proof Technology: Work on bleeding-edge AI and software infrastructure designed for the decade ahead.
  • Competitive Compensation: A salary range reflecting your expertise and impact.
  • Remote-First Culture: Flexibility to work from anywhere in the US.

Responsibilities

  • Architecting the Future: Design scalable, next-generation AI architectures that anticipate the needs of 2026 and beyond.
  • System Leadership: Oversee the entire software lifecycle for critical AI modules, ensuring high availability and low latency.
  • Tech Strategy: Evaluate and integrate emerging technologies (e.g., Agentic AI, Edge Computing) into our core infrastructure.
  • Cross-Functional Collaboration: Partner with product managers and data scientists to translate complex requirements into technical blueprints.
  • Code Review & Mentorship: Establish coding standards and mentor junior engineers to foster a culture of excellence.
  • Performance Optimization: Continuously refine system performance to handle massive scale.

Qualifications

  • Experience: 7+ years of professional experience in software engineering, with at least 3 years in AI/ML architecture.
  • Technical Mastery: Deep expertise in Python, Rust, or Go, with a strong understanding of distributed systems.
  • AI Proficiency: Proven experience deploying and scaling Large Language Models (LLMs) and generative AI tools.
  • Education: Bachelor’s degree in Computer Science, Mathematics, or a related field; Master’s degree is a plus.
  • Problem Solving: Exceptional ability to troubleshoot complex issues and design resilient systems.
  • Communication: Excellent verbal and written communication skills for technical documentation and stakeholder presentations.

Required Skills

Python Rust Go Machine Learning System Design Distributed Systems AWS Kubernetes PyTorch TensorFlow AI Architecture Agentic AI

Ready to Take This Challenge?

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

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