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Future Tech Lead | 2026 AI Architect | San Francisco, CA

Synapse Dynamics
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

At Synapse Dynamics, we are not just building software; we are architecting the technological landscape of 2026. We are seeking a visionary Future Tech Lead to spearhead our next-generation artificial intelligence initiatives. In this role, you will bridge the gap between theoretical future-tech concepts and practical, scalable engineering solutions, ensuring our platforms remain at the cutting edge of the industry.

You will work with a world-class team of engineers, data scientists, and futurists to define the roadmap for our AI systems. If you have a passion for pushing boundaries and a deep understanding of where technology is heading, this is the opportunity to define the future.

Responsibilities

  • Architect and deploy scalable AI systems capable of handling 2026-scale data volumes and complexity.
  • Lead the research and implementation of cutting-edge technologies, including Generative AI, Quantum-ready algorithms, and Neuro-Symbolic AI.
  • Mentor a team of senior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Define technical roadmaps and strategic vision aligned with the company's 2026 goals.
  • Collaborate with cross-functional teams to integrate advanced AI capabilities into core product offerings.
  • Evaluate emerging technologies and frameworks to ensure our stack remains future-proof.

Qualifications

  • Ph.D. or Master's degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years in a leadership or architect role focusing on AI/ML.
  • Deep expertise in Python, C++, and distributed systems.
  • Proven experience with Large Language Models (LLMs), Transformer architectures, and reinforcement learning.
  • Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and containerization (Kubernetes, Docker).
  • Exceptional problem-solving skills and the ability to navigate ambiguity in a rapidly evolving tech landscape.

Required Skills

Artificial Intelligence Machine Learning Python System Architecture Cloud Computing Kubernetes Generative AI LLM Quantum Computing Leadership

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