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Director of Agentic AI Systems (2026 Vision)

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

We are seeking a visionary technical leader to architect the autonomous intelligence systems of the 2026 era. At Nexus Horizon, we are building the next generation of Agentic AI and LLM workflows that will redefine human-machine collaboration. If you have a passion for pushing the boundaries of Generative AI and want to lead a world-class engineering team, this is your opportunity to shape the future.

Key Highlights:

  • Work on cutting-edge technology that will define the next decade of the industry.
  • Competitive equity package and comprehensive benefits in the heart of San Francisco.
  • Collaborate with elite engineers and researchers in a fast-paced environment.

Responsibilities

  • Architectural Leadership: Design and implement scalable, fault-tolerant distributed systems for autonomous AI agents and multi-agent workflows.
  • R&D Strategy: Define the technical roadmap for integrating advanced multi-modal AI models and reinforcement learning into production environments.
  • Team Mentorship: Guide a high-performance engineering team in best practices for code quality, system design, and ethical AI development.
  • Product Innovation: Partner with product stakeholders to translate complex AI capabilities into intuitive, high-impact user experiences.
  • Performance Optimization: Oversee the optimization of model inference latency and throughput to ensure real-time responsiveness in mission-critical applications.

Qualifications

  • Education: MS or PhD in Computer Science, Machine Learning, or a related quantitative field.
  • Experience: 10+ years of software engineering experience with at least 5 years in a leadership role within AI/ML or distributed systems.
  • Technical Stack: Proficiency in Python, C++, and deep learning frameworks (PyTorch, TensorFlow, JAX).
  • Domain Knowledge: Deep understanding of Large Language Models (LLMs), Vector Databases, RAG architectures, and Agentic workflows.
  • Problem Solving: Demonstrated ability to solve complex, large-scale technical problems in ambiguous, high-growth environments.

Required Skills

Python PyTorch TensorFlow Machine Learning Distributed Systems NLP LLMs System Architecture Leadership AI Ethics

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