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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Lead Agentic AI Architect | 2026 Strategic Roadmap

Nexus Horizon
San Francisco
Estimated Salary
USD 185.000 – USD 260.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Are you ready to architect the future? Nexus Horizon is seeking a visionary Senior AI Architect to lead our 2026 Strategic Roadmap. As we prepare to redefine the boundaries of artificial autonomy, you will be at the helm of designing systems that don't just react, but predict and act independently. This is a high-impact role for a technologist who thrives on ambiguity and innovation.

In this position, you will bridge the gap between theoretical AI research and scalable production engineering, ensuring our platform remains the industry leader through the 2026 transition.

Why Join Us?

  • Impactful Work: Directly influence the core architecture of our autonomous agents.
  • Future-Ready: Work on cutting-edge projects designed for the 2026 landscape.
  • Competitive Compensation: Top-tier salary and equity package.

Responsibilities

  • Architect and define the technical roadmap for Agentic AI systems, specifically targeting the capabilities required by 2026.
  • Lead the design of multi-agent orchestration frameworks, ensuring scalability and fault tolerance.
  • Collaborate with cross-functional teams to integrate advanced LLMs into complex autonomous workflows.
  • Drive the adoption of MLOps best practices to streamline model training, evaluation, and deployment.
  • Stay ahead of emerging AI trends, conducting deep-dive research to validate new technical approaches.
  • Provide technical mentorship to junior engineers and architects within the organization.

Qualifications

  • Master’s degree or PhD in Computer Science, Machine Learning, or a related field.
  • 7+ years of experience in software engineering with a strong focus on Artificial Intelligence and Machine Learning.
  • Proven expertise in Python, PyTorch, or TensorFlow, with deep knowledge of LLMs and Generative AI.
  • Experience building and deploying multi-agent systems or autonomous agents.
  • Strong understanding of system design, cloud infrastructure (AWS/GCP), and data pipelines.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Agentic AI Multi-Agent Systems LLM Orchestration Python PyTorch MLOps Cloud Architecture System Design

Ready to Take This Challenge?

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

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