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Lead AI Architect (2026 Initiative)

Apex Innovation Labs
New York
Estimated Salary
USD 180.000 – USD 260.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Apex Innovation Labs is on a mission to redefine the technological landscape. As part of our exclusive Horizon 2026 initiative, we are seeking a visionary Lead AI Architect to build the infrastructure for the next generation of autonomous systems.

In this high-impact role, you will not just write code; you will architect the future. You will lead a world-class team in developing scalable, ethical, and powerful AI solutions that will set the standard for the industry. If you are a technical leader who thrives in ambiguity and is passionate about pushing the boundaries of what is possible in 2026, we want to meet you.

Responsibilities

  • Define and execute the technical vision for the Horizon 2026 AI platform, ensuring scalability, security, and performance.
  • Architect and implement large-scale machine learning pipelines and neural network infrastructures.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to drive innovation.
  • Oversee model optimization strategies, including quantization, pruning, and inference acceleration.
  • Mentor senior and junior engineers, fostering a culture of technical excellence and continuous learning.
  • Ensure compliance with industry standards and ethical AI guidelines in all system designs.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in a lead or architect role within AI/ML.
  • Deep expertise in Python, C++, and major ML frameworks (PyTorch, TensorFlow, or JAX).
  • Proven experience designing distributed systems and cloud-native architectures on AWS, GCP, or Azure.
  • Strong background in MLOps, CI/CD pipelines, and containerization technologies (Docker, Kubernetes).
  • Exceptional problem-solving skills and the ability to translate complex business requirements into technical solutions.
  • Experience with LLMs, RAG architectures, and Generative AI technologies.

Required Skills

Python Machine Learning Cloud Architecture AWS Kubernetes PyTorch System Design MLOps AI Engineering

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