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Information Technology 🏒 Full Time ⭐️ Verified

Future-Ready AI Architect | Vision 2026

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to architect the future? Nexus Horizon Labs is seeking a visionary Strategic AI Systems Architect to define our technical roadmap for the year 2026 and beyond. In this high-impact role, you will bridge the gap between cutting-edge AI research and scalable enterprise infrastructure.

We are not just building software; we are building the foundation for the next era of intelligent systems. If you thrive in ambiguity and have a passion for solving complex problems at scale, we want to meet you.

Responsibilities

  • Define the Vision 2026 Roadmap: Create a comprehensive technical strategy that anticipates industry trends and positions Nexus Horizon as a market leader.
  • Design Scalable AI Architectures: Build robust, fault-tolerant systems capable of handling petabytes of data and millions of concurrent requests.
  • Emerging Tech Integration: Lead the evaluation and adoption of next-generation technologies, including Generative AI, Autonomous Agents, and Quantum-ready algorithms.
  • Cross-Functional Leadership: Collaborate with product, engineering, and business units to translate high-level concepts into actionable technical specifications.
  • Model Governance & Safety: Establish best practices for AI model deployment, monitoring, and ethical governance to ensure compliance and safety.
  • Talent Development: Mentor senior engineers and foster a culture of innovation, continuous learning, and technical excellence.

Qualifications

  • Advanced Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Extensive Experience: 10+ years in software architecture, with at least 5 years specifically focused on AI/ML system design.
  • Cloud Mastery: Deep expertise in distributed systems, cloud infrastructure (AWS/GCP/Azure), and containerization (Kubernetes/Docker).
  • Technical Depth: Proven track record of delivering large-scale machine learning platforms and production-grade LLM applications.
  • Industry Knowledge: Strong understanding of NLP, Computer Vision, and Reinforcement Learning technologies.
  • Leadership Skills: Exceptional ability to influence decisions and lead high-performance teams in a fast-paced, dynamic environment.

Required Skills

Artificial Intelligence Machine Learning System Architecture Cloud Computing Kubernetes Python Leadership Strategic Planning Generative AI Data Engineering Distributed Systems

Ready to Take This Challenge?

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