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Information Technology 🏢 Full Time ⭐️ Verified

Lead AI Systems Architect (2026 Vision)

Nexus Horizon Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

At Nexus Horizon Innovations, we are not just building software; we are architecting the foundation for 2026 and beyond. We are seeking a visionary Lead AI Systems Architect to define the next generation of autonomous intelligent systems.

As a pioneer in the future of technology, you will be responsible for the architectural vision of our flagship products, ensuring they are scalable, secure, and capable of leading the market in the years to come. This role is for a builder who thrives in ambiguity and is ready to set the standard for AI engineering in the coming decade.

Why Join Us?

  • Work on cutting-edge Generative AI and Large Language Model (LLM) infrastructures.
  • Competitive compensation package and equity for top performers.
  • Flexible remote-first culture with a premium office in San Francisco.

Responsibilities

  • Strategic Roadmap: Define the high-level technical strategy and architecture for our 2026 product suite, ensuring alignment with long-term business goals.
  • System Design: Lead the end-to-end design of scalable, fault-tolerant distributed systems using microservices and serverless architectures.
  • Team Leadership: Mentor and grow a team of senior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Performance Optimization: Oversee the deployment and optimization of AI models, ensuring low-latency inference and high throughput.
  • Technical Governance: Establish best practices, code reviews, and architectural standards to ensure maintainability and security.

Qualifications

  • Experience: 10+ years of software engineering experience, with at least 5 years in a leadership role designing complex distributed systems.
  • Education: MS or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Technical Skills: Deep expertise in Python, C++, and frameworks such as TensorFlow, PyTorch, or Kubernetes.
  • AI/ML: Proven experience designing and implementing Large Language Models or Generative AI applications.
  • Soft Skills: Exceptional communication skills, with the ability to translate complex technical concepts for diverse stakeholders.

Required Skills

Python TensorFlow PyTorch Kubernetes System Architecture Generative AI Leadership Microservices Distributed Systems

Ready to Take This Challenge?

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