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Senior AI Architect - 2026 Strategy Lead

Apex Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are seeking a visionary Senior AI Architect to lead our technology roadmap through the pivotal year of 2026. As we stand on the brink of a new technological era, we need a leader who can bridge the gap between cutting-edge AI research and scalable, enterprise-grade implementation.

In this role, you will define the core infrastructure that will power our next generation of products. You will be responsible for steering our technical strategy towards a future where Generative AI and Quantum Readiness are the standard. If you are passionate about shaping the future of technology and have a knack for high-level architectural planning, we want to hear from you.

Responsibilities

  • Define the 2026 Technology Roadmap: Translate high-level business objectives into a concrete technical vision for the next three years.
  • Architect Scalable Systems: Design and implement robust Machine Learning pipelines and data lake solutions that can handle massive scale.
  • Lead Innovation: Spearhead the adoption of emerging technologies, specifically focusing on Generative AI and Edge Computing.
  • Technical Mentorship: Lead a team of brilliant engineers, fostering a culture of continuous learning and technical excellence.
  • Cross-Functional Collaboration: Work closely with product managers and data scientists to ensure alignment between business goals and technical execution.
  • Infrastructure Security: Implement best-in-class security protocols to protect proprietary AI models and data assets.

Qualifications

  • 10+ years of experience in software engineering and 5+ years specifically in AI/ML architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, and cloud-native architectures (AWS, GCP, or Azure).
  • Proven track record of leading technical strategy for forward-looking projects and defining long-term roadmaps.
  • Master’s degree in Computer Science, Data Science, or a related technical field (PhD preferred).
  • Strong understanding of the ethical implications of AI and a commitment to responsible innovation.
  • Experience in a fast-paced, agile startup environment is highly desirable.

Required Skills

Artificial Intelligence Machine Learning System Architecture Python TensorFlow Strategic Planning Agile Cloud Computing Generative AI Data Engineering

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