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Lead AI Architect (Agentic Systems)

QuantumFlow Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

We are seeking a visionary Lead AI Architect to spearhead the development of our 2026 flagship agentic AI platform. As the landscape of artificial intelligence evolves towards autonomous systems, you will be at the forefront of building intelligent agents capable of complex, self-directed decision-making.

In this pivotal role, you will design scalable microservices, optimize large language model (LLM) inference pipelines, and ensure our systems are secure, ethical, and future-proof. You will lead a world-class engineering team in crafting the technology stack that will define the industry standard for the year 2026.

Why Join Us?

  • Work on cutting-edge Agentic AI and autonomous systems.
  • Competitive compensation and equity package.
  • Remote-first culture with flexibility to work from anywhere in the US.
  • Opportunity to influence the future of technology.

Responsibilities

  • Architect and implement scalable, high-performance AI infrastructure designed for autonomous agents and multi-agent workflows.
  • Lead the research and integration of next-generation large language models and vector databases.
  • Establish best practices for AI model governance, explainability, and ethical AI usage.
  • Mentor and grow a team of talented software engineers and data scientists.
  • Collaborate closely with product and design teams to define the technical roadmap for 2026.
  • Drive MLOps initiatives to streamline deployment, monitoring, and retraining pipelines.

Qualifications

  • Master’s degree or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
  • 7+ years of experience in software engineering, with at least 3 years in a lead or architect role.
  • Deep expertise in Python, PyTorch, TensorFlow, and modern AI frameworks.
  • Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
  • Experience with LangChain, AutoGen, or similar agent orchestration frameworks.
  • Proven track record of delivering complex, scalable products to market.

Required Skills

Python Machine Learning AI Cloud Architecture NLP PyTorch TensorFlow MLOps Docker Kubernetes AWS System Design

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