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Lead AI Architect (2026 Roadmap)

Apex Future Systems
San Francisco
Estimated Salary
USD 185.000 – USD 260.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027



Job Description

The Future is Now. Apex Future Systems is seeking a visionary Lead AI Architect to spearhead our technological roadmap through 2026. As a leader in next-generation computing, we are building the infrastructure for a world where AI seamlessly integrates into every facet of life.

About the Role: You will be the technical architect behind our proprietary AI frameworks. You won't just be maintaining legacy systems; you will be designing the 2026 vision of scalable, efficient, and ethical artificial intelligence. If you thrive in a high-impact environment and want to define the future of tech, this is your opportunity.

Responsibilities

  • Architect and oversee the implementation of the 2026 AI roadmap, ensuring scalability and performance.
  • Lead the design of complex distributed systems, focusing on high availability and fault tolerance.
  • Collaborate with cross-functional teams to integrate advanced Machine Learning models into production environments.
  • Establish architectural standards and best practices to ensure code quality and system integrity.
  • Mentor and develop a team of senior engineers and data scientists.
  • Conduct technical due diligence for new technology integrations and research initiatives.
  • Drive the migration to cloud-native infrastructure (AWS/Azure) with a focus on AI/ML workloads.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, and C++.
  • Strong background in cloud architecture (AWS, GCP, or Azure) and containerization technologies (Kubernetes, Docker).
  • Experience with MLOps, data pipelines, and model deployment strategies.
  • Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Proven leadership experience in guiding technical strategy and managing large engineering teams.
  • Excellent problem-solving skills and the ability to communicate complex concepts to stakeholders.

Required Skills

Python PyTorch TensorFlow AWS Azure Kubernetes MLOps Machine Learning Cloud Architecture Leadership System Design

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