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Senior AI Architect (2026 Vision) | San Francisco, CA

QuantumLeap Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to architect the future of intelligence?

We are seeking a visionary Senior AI Architect to lead the development of next-generation artificial intelligence systems. At QuantumLeap Systems, we are not just building tools for today; we are engineering the foundational architecture for the year 2026 and beyond. You will be at the forefront of Agentic AI, Multimodal Models, and Autonomous Systems.

If you are passionate about pushing the boundaries of what's possible and have a track record of deploying scalable, high-impact AI solutions, we want to meet you.

Responsibilities

  • Define the 2026 AI Roadmap: Lead the technical strategy for building autonomous agents and advanced Large Language Models (LLMs) capable of complex reasoning and execution.
  • System Architecture: Design and implement resilient, distributed AI infrastructure that supports millions of concurrent requests with zero latency.
  • Model Optimization: Oversee the fine-tuning and deployment of proprietary models, focusing on efficiency, accuracy, and ethical AI governance.
  • R&D Leadership: Collaborate with top-tier researchers to prototype cutting-edge technologies, such as Quantum Machine Learning and Neural Symbolic AI.
  • Technical Mentorship: Mentor a team of brilliant engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Strategic Collaboration: Work closely with product and business leadership to translate futuristic concepts into tangible, market-ready products.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field (or equivalent industry experience).
  • Experience: 7+ years of experience in software engineering, with at least 4 years specializing in Machine Learning and Deep Learning.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and C++. Strong understanding of distributed systems (Kubernetes, Docker, AWS/GCP/Azure).
  • AI Expertise: Deep knowledge of LLMs, NLP, Computer Vision, and Reinforcement Learning. Experience with Model Serving (vLLM, TGI) is highly desirable.
  • Problem Solving: Exceptional ability to solve complex, unstructured problems in ambiguous environments.
  • Leadership: Proven track record of leading cross-functional teams and driving projects from conception to deployment.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow NLP LLMs Kubernetes Docker AWS System Design Architecture AI Ethics Python

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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