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Senior AI Architect – 2026 Horizon

Apex Future Tech
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Are you ready to architect the future? Apex Future Tech is seeking a visionary Senior AI Architect to spearhead our 2026 Horizon Initiative. We are building the next generation of generative intelligence systems, and we need a leader who can navigate the complexities of tomorrow's technology stack today.

In this role, you will define the architectural backbone for our flagship AI products, ensuring scalability, security, and ethical compliance. You will work in a high-performance environment pushing the boundaries of what is possible in Artificial General Intelligence (AGI) and autonomous systems.

Responsibilities

  • Design and implement scalable AI/ML infrastructure for the 2026 product roadmap.
  • Lead the research and development of novel deep learning models and algorithms.
  • Collaborate with cross-functional teams (Data Science, Product, Engineering) to translate complex requirements into robust technical solutions.
  • Establish best practices for MLOps, model deployment, and continuous integration/continuous deployment (CI/CD).
  • Oversee code reviews, technical architecture reviews, and mentorship of junior engineers and data scientists.
  • Ensure compliance with data privacy regulations and ethical AI standards.
  • Present technical roadmaps and architectural vision to executive leadership.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related field.
  • 10+ years of experience in software engineering, with at least 5 years in a leadership role focusing on AI/ML architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, and modern deep learning frameworks.
  • Proven track record of designing systems at scale with high availability and fault tolerance.
  • Strong understanding of Large Language Models (LLMs), Transformers, and Generative AI architectures.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning AWS Kubernetes MLOps Cloud Architecture Leadership

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