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Artificial Intelligence 🏢 Full Time ⭐️ Verified

Lead Agentic AI Architect

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

We are not just building software; we are architecting the digital consciousness of the future. Nexus Horizon is at the forefront of the 2026 technological revolution, designing autonomous systems that bridge the gap between human intent and machine execution. We are seeking a visionary Lead Agentic AI Architect to spearhead our next-generation infrastructure.

In this pivotal role, you will define the architectural patterns for self-optimizing agents capable of complex reasoning, learning, and execution without constant human intervention. You will work alongside a world-class team of engineers and ethicists to build the backbone of a smarter, more efficient digital world.

Why join Nexus Horizon?

  • Work on cutting-edge Agentic AI systems that will define the industry standard for 2026.
  • Competitive compensation package and equity options in a Series B growth stage company.
  • Flexible remote-first culture with a vibrant San Francisco hub.

Responsibilities

  • Architect Autonomous Workflows: Design and implement scalable architectures for multi-agent systems capable of handling complex, multi-step tasks with minimal supervision.
  • Model Orchestration: Integrate and optimize Large Language Models (LLMs) with vector databases and external tools to create intelligent, agentic workflows.
  • System Optimization: Lead efforts to reduce inference costs, latency, and improve the reliability and safety of autonomous agents.
  • Team Leadership: Mentor a team of machine learning engineers and AI researchers, fostering a culture of innovation and technical excellence.
  • Ethical AI Implementation: Ensure all systems adhere to rigorous safety guidelines and ethical standards for AI alignment and bias mitigation.

Qualifications

  • Experience: 8+ years of experience in software engineering, with at least 3+ years specifically in AI/ML architecture and systems design.
  • Technical Stack: Deep proficiency in Python, C++, and modern frameworks such as LangChain, LlamaIndex, or similar.
  • Education: Bachelor’s degree in Computer Science, Mathematics, or a related field (Master’s or Ph.D. preferred).
  • System Design: Proven track record of designing high-throughput, low-latency distributed systems.
  • Soft Skills: Exceptional communication skills with the ability to translate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning LLMs System Architecture AI Ethics Kubernetes Docker Distributed Systems LangChain

Ready to Take This Challenge?

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