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Lead AI Architect (2026 Future Tech)

Apex Dynamics
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

We are seeking a visionary Lead AI Architect to spearhead our 2026 strategic roadmap. At Apex Dynamics, we are building the next generation of intelligent systems that will define the future of human-machine interaction. If you are passionate about pushing the boundaries of Artificial General Intelligence (AGI) and ethical technology, this is your opportunity to lead from the front.

In this role, you will design scalable neural architectures, establish best practices for AI governance, and mentor a world-class team of engineers. You will be responsible for translating complex 2026 technological visions into robust, production-ready solutions.

Why join us?

  • Work on cutting-edge AI infrastructure.
  • Competitive compensation and equity package.
  • Remote-first culture with premium office amenities in San Francisco.

Responsibilities

  • Architect and implement scalable machine learning pipelines designed for 2026 data volumes.
  • Lead the research and integration of next-gen algorithms, including Large Language Models (LLMs) and generative AI.
  • Define and enforce enterprise-wide AI ethics, safety, and compliance standards.
  • Collaborate with cross-functional teams (Product, Engineering, Legal) to align technical roadmaps with business goals.
  • Mentor junior engineers and conduct technical architecture reviews.
  • Predict emerging AI trends and adapt our infrastructure to stay ahead of the curve.

Qualifications

  • 10+ years of experience in software engineering, with a minimum of 5 years in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, or similar deep learning frameworks.
  • Strong background in distributed systems, cloud computing (AWS/GCP/Azure), and containerization (Docker/K8s).
  • Proven track record of deploying production-grade AI models at scale.
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
  • Master's degree or PhD in Computer Science, Machine Learning, or a related field.

Required Skills

Artificial Intelligence Machine Learning Python TensorFlow PyTorch Deep Learning Distributed Systems Cloud Computing AWS Docker Kubernetes San Francisco CA USA

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