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Senior AI & Agentic Systems Architect

OmniTech 2026
San Francisco
Estimated Salary
USD 195.000 – USD 260.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Architect the Future of Autonomous Intelligence.

OmniTech 2026 is pioneering the next generation of self-evolving systems. We are seeking a visionary Senior AI & Agentic Systems Architect to lead the design of our neural infrastructure. If you are passionate about pushing the boundaries of Generative AI, LLM orchestration, and autonomous agent workflows, this is your opportunity to define the standard for 2026.

Why Join Us?

  • Work on cutting-edge systems that scale to billions of users.
  • Shape the roadmap for the next era of AI autonomy.
  • Competitive compensation and equity packages.

As a key leader in our R&D division, you will bridge the gap between theoretical AI research and production-grade engineering.

Responsibilities

  • Design and architect scalable, fault-tolerant systems for autonomous AI agents.
  • Lead the integration of Large Language Models (LLMs) into complex, multi-agent workflows.
  • Implement best practices for AI safety, bias mitigation, and explainability.
  • Collaborate with cross-functional teams to define technical requirements for 2026 product roadmaps.
  • Mentor junior engineers and researchers in advanced AI architectures.
  • Optimize inference latency and cost-efficiency in cloud environments.
  • Stay ahead of emerging trends in Neuromorphic computing and Edge AI.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field.
  • 10+ years of software engineering experience, with at least 5 years in AI/ML architecture.
  • Deep expertise in Python, C++, and distributed systems.
  • Proven track record of deploying large-scale ML models in production.
  • Experience with frameworks such as PyTorch, TensorFlow, or JAX.
  • Strong understanding of vector databases, RAG pipelines, and LangChain.
  • Excellent problem-solving skills and ability to thrive in a fast-paced startup environment.

Required Skills

Python C++ Machine Learning Distributed Systems PyTorch TensorFlow AWS Azure System Architecture AI Safety LLM RAG LangChain

Ready to Take This Challenge?

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

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