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Information Technology 🏒 Full Time ⭐️ Verified

AI & Autonomous Systems Architect (Project 2026)

FutureHorizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are seeking a visionary AI & Autonomous Systems Architect to lead our flagship initiative, Project 2026. In this pivotal role, you will define the technical roadmap for next-generation autonomous agents capable of solving complex, real-world problems. You will bridge the gap between theoretical AI research and scalable production systems, ensuring our solutions are robust, secure, and ethically aligned. Join us in shaping the technological landscape of the future.

Why Join Us?
At FutureHorizon Labs, we don't just predict the future; we build it. Project 2026 is our commitment to excellence, offering a competitive benefits package, remote-first flexibility, and the opportunity to work with industry pioneers.

Responsibilities

  • Architect and design scalable, fault-tolerant AI systems and autonomous workflows for Project 2026.
  • Lead a cross-functional team of engineers, data scientists, and product managers to drive technical innovation.
  • Define and implement best practices for model deployment, monitoring, and continuous integration.
  • Conduct rigorous code reviews and technical architecture assessments to ensure system integrity.
  • Stay abreast of the latest advancements in Machine Learning, LLMs, and robotics to integrate cutting-edge technologies.
  • Mentor junior engineers and foster a culture of technical excellence and continuous learning.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Proven track record of leading complex technical projects from conception to deployment.
  • Deep expertise in Python, TensorFlow, PyTorch, and cloud infrastructure (AWS/GCP/Azure).
  • Strong understanding of distributed systems, microservices, and high-performance computing.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to diverse stakeholders.
  • Master’s degree in Computer Science, Engineering, or a related field (PhD preferred).

Required Skills

Python Machine Learning TensorFlow PyTorch AWS Cloud Architecture Distributed Systems AI Autonomous Systems System Design Leadership

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