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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - Next-Gen Systems

Quantum Nexus Labs
Austin
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Welcome to the future of technology. Quantum Nexus Labs is at the forefront of engineering solutions for the year 2026 and beyond. We are looking for a visionary Senior AI Architect to design the infrastructure that powers the next generation of generative AI and autonomous agents.

In this role, you won't just be maintaining systems; you will be architecting the evolution of technology. You will work in a cutting-edge environment where Generative AI, predictive analytics, and sustainable computing converge. If you are passionate about pushing the boundaries of what is possible in software engineering, we want to meet you.

Why Join Us?

  • Work on projects that define the technological landscape of 2026.
  • Competitive equity package and top-tier benefits.
  • Access to state-of-the-art computing resources and research.
  • A collaborative culture that values innovation and intellectual curiosity.

Responsibilities

  • Design and implement scalable, high-performance AI architectures capable of handling next-generation workloads.
  • Lead the research and development of novel algorithms for generative models and autonomous agents.
  • Optimize deep learning models for inference latency and resource efficiency.
  • Collaborate with cross-functional teams to integrate AI capabilities into consumer and enterprise products.
  • Establish best practices for MLOps, data governance, and model monitoring.
  • Conduct code reviews and mentor junior engineers to foster technical growth.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related technical field.
  • Minimum of 8+ years of experience in software engineering, with at least 4 years specifically in AI/ML architecture.
  • Extensive experience with Python, PyTorch, or TensorFlow.
  • Deep understanding of Large Language Models (LLMs), NLP, and prompt engineering.
  • Strong proficiency in cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Experience with distributed systems, microservices, and high-availability solutions.
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, agile environment.

Required Skills

Python PyTorch TensorFlow AWS GCP Docker Kubernetes MLOps Large Language Models NLP Machine Learning Deep Learning System Design Distributed Systems

Ready to Take This Challenge?

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