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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect: 2026 Vision

Apex Horizon Systems
Seattle
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

We are on the precipice of a new technological renaissance. As we look toward 2026, Apex Horizon Systems is seeking a visionary Lead AI Architect to design the next generation of intelligent infrastructure.

In this role, you won't just maintain systems; you will architect the very fabric of our future AI ecosystem. You will bridge the gap between theoretical breakthroughs in generative AI and neuromorphic computing, and scalable production environments.

Why Join Us?

  • Shape the Future: Work on projects that define the landscape of 2026 and beyond.
  • Elite Compensation: Competitive salary and equity package.
  • Remote-First Culture: Flexible work arrangements from the heart of Seattle.

Responsibilities

  • Architect and deploy scalable AI/ML infrastructure capable of handling next-gen workloads.
  • Lead the research and implementation of emerging technologies, including Generative AI, Neuromorphic computing, and Quantum-ready algorithms.
  • Define technical roadmaps and best practices for data pipelines and model training.
  • Mentor a team of senior engineers and researchers, fostering a culture of innovation.
  • Ensure system security, compliance, and ethical AI standards in all deployments.
  • Collaborate with product leaders to translate complex business requirements into technical blueprints.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks.
  • Strong background in cloud architecture (AWS, GCP, or Azure) with a focus on serverless and edge computing.
  • Experience with MLOps, data orchestration (Kubernetes, Airflow), and model versioning.
  • Proven track record of leading high-performance engineering teams and delivering complex systems on time.
  • Master’s degree in Computer Science, Mathematics, or a related technical field is preferred.

Required Skills

Artificial Intelligence Machine Learning Python Cloud Architecture MLOps Kubernetes PyTorch System Design Leadership

Ready to Take This Challenge?

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