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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect: Agentic Systems & Future Tech

Chronos AI Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Are you ready to shape the future of intelligent systems? Chronos AI Labs is looking for a visionary Senior AI Architect to lead our research into Agentic AI and Autonomous Systems for 2026 and beyond.

In this pivotal role, you won't just maintain the status quo; you will pioneer the next generation of machine learning architectures. We are building the core infrastructure that will power the next decade of human-machine interaction. If you thrive in a fast-paced, innovative environment and want to leave a legacy in the tech world, this is your chance.

Why Join Us?

  • Forward-Looking Impact: Work on cutting-edge technology that will define the industry in 2026.
  • Top-Tier Compensation: Competitive salary and equity package.
  • Flexible Work: Hybrid model supporting remote and on-site collaboration.

Responsibilities

  • Architect and deploy scalable, agentic AI systems using Large Language Models (LLMs) and Reinforcement Learning.
  • Lead the design of proprietary neural network architectures optimized for real-time inference.
  • Collaborate with cross-functional teams to integrate AI agents into enterprise workflows.
  • Ensure data privacy, security, and ethical AI compliance across all models.
  • Mentor junior engineers and conduct technical reviews to elevate team standards.
  • Publish research and contribute to open-source communities to establish thought leadership.

Qualifications

  • B.S., M.S., or PhD in Computer Science, Mathematics, or a related technical field.
  • 5+ years of experience in AI/ML engineering, with at least 2 years in production LLM deployment.
  • Proficiency in Python, PyTorch, TensorFlow, and modern MLOps tooling (Kubernetes, Docker).
  • Deep understanding of Natural Language Processing (NLP) and Generative AI models.
  • Experience with vector databases (Pinecone, Milvus) and RAG architectures.
  • Strong problem-solving skills and ability to navigate ambiguity in a rapidly evolving landscape.

Required Skills

Python PyTorch TensorFlow MLOps LLM Generative AI NLP Kubernetes Docker AI Ethics

Ready to Take This Challenge?

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