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Senior AI Strategy Architect | 2026 Roadmap | San Francisco, CA

Apex Future Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Shape the Future of Intelligence.

Apex Future Technologies is seeking a visionary Senior AI Strategy Architect to lead the strategic planning and execution of our AI infrastructure for the 2026 roadmap. In this pivotal role, you will bridge the gap between theoretical research and practical application, defining the architectural blueprints that will power the next generation of intelligent systems.

You will work in a collaborative, high-performance environment alongside world-class engineers and data scientists. If you are passionate about defining the trajectory of Artificial General Intelligence and possess the technical depth to back it up, we want to hear from you.

Why Join Us?

  • Work on cutting-edge projects that redefine industry standards.
  • Competitive compensation package with equity options.
  • Flexible remote-first policy with a hub in the heart of San Francisco.

Responsibilities

  • Define and articulate the long-term technical vision and architectural strategy for AI systems targeting the 2026 deployment phase.
  • Lead the design of scalable, fault-tolerant machine learning pipelines and neural network architectures.
  • Collaborate with product management and engineering teams to translate business requirements into robust technical solutions.
  • Evaluate emerging technologies (e.g., Neuromorphic Computing, Quantum AI) and recommend integration strategies.
  • Mentor junior architects and engineers, fostering a culture of innovation and technical excellence.
  • Conduct rigorous code reviews and architectural audits to ensure system integrity and security.
  • Drive cross-functional communication to ensure alignment on technical milestones and deliverables.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field (or equivalent industry experience).
  • 10+ years of experience in software engineering, with at least 5 years in a senior architectural or leadership role within AI/ML.
  • Deep expertise in machine learning frameworks (TensorFlow, PyTorch, JAX) and distributed systems.
  • Proven track record of leading teams through complex technical transformations and system migrations.
  • Strong understanding of cloud infrastructure (AWS, GCP, Azure) and containerization technologies (Kubernetes, Docker).
  • Excellent written and verbal communication skills, with the ability to articulate complex concepts to diverse stakeholders.
  • Experience with Agile/Scrum methodologies and CI/CD pipelines.

Required Skills

Artificial Intelligence Machine Learning System Architecture Python TensorFlow Strategic Planning Cloud Computing Kubernetes Agile Leadership

Ready to Take This Challenge?

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