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Principal AI Architect (2026 Visionary)

Synapse Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Shape the Future of Intelligence

Synapse Dynamics is at the forefront of technological evolution, and we are looking for a visionary Principal AI Architect to lead our initiatives through the 2026 technological horizon. In this role, you will not just build systems; you will architect the very fabric of next-generation AI capabilities that will define the industry standard.

We are seeking a leader who is passionate about pushing boundaries, solving complex problems at scale, and implementing ethical, responsible AI solutions. If you are ready to lead a team of elite engineers and build systems that matter, we want to hear from you.

Responsibilities

  • Define and execute the technical vision for the 2026 roadmap, ensuring scalability, security, and innovation.
  • Lead the architectural design of large-scale machine learning systems and distributed cloud infrastructures.
  • Collaborate with product leadership to translate business requirements into cutting-edge technical solutions.
  • Mentor senior engineers and foster a culture of continuous learning, technical excellence, and autonomy.
  • Evaluate emerging technologies (e.g., Generative AI, Quantum Readiness) to drive strategic decision-making.
  • Ensure compliance with industry standards and ethical AI frameworks.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in a leadership or principal architect role.
  • Deep expertise in Python, TensorFlow, PyTorch, and modern data engineering pipelines.
  • Proven experience designing high-availability systems using AWS, GCP, or Azure.
  • Strong command of distributed systems, microservices architecture, and containerization (Docker, Kubernetes).
  • Experience with MLOps, CI/CD pipelines, and cloud-native development practices.
  • Excellent communication skills with the ability to translate complex technical concepts for diverse stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python Cloud Architecture System Design Leadership MLOps TensorFlow AWS GCP

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