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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect - Shaping the Future of Intelligence

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are seeking a visionary Lead AI Architect to spearhead our technology roadmap leading up to and beyond 2026. In this pivotal role, you will design the next generation of generative AI systems, ensuring our infrastructure is scalable, secure, and transformative. If you are passionate about pushing the boundaries of what is possible in artificial intelligence and want to define the standards of the industry, we want to hear from you.

Why Join Us?
We are at the forefront of the AI revolution, working on projects that will redefine human-machine interaction. You will have the autonomy to make high-impact decisions, work with cutting-edge hardware, and lead a team of elite engineers.

Responsibilities

  • Architect Scalable Systems: Design and implement robust, high-availability machine learning pipelines and data architectures optimized for massive scale.
  • Strategic Roadmapping: Define the technical vision and 2026 roadmap for our AI initiatives, aligning them with business goals.
  • Model Development: Oversee the research and deployment of state-of-the-art Large Language Models (LLMs) and generative algorithms.
  • Team Leadership: Mentor senior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Ethical AI Compliance: Ensure all AI deployments adhere to strict ethical guidelines, bias mitigation protocols, and regulatory standards.
  • Cloud Integration: Manage the integration of AI models into cloud environments (AWS/Azure) utilizing containerization and microservices.

Qualifications

  • Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related field.
  • Experience: 8+ years of experience in software engineering, with at least 5 years in a lead architectural role within AI/ML.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with Hugging Face ecosystem.
  • Domain Knowledge: Deep understanding of Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.
  • Architecture: Proven track record designing scalable distributed systems and MLOps pipelines.
  • Soft Skills: Exceptional communication skills, with the ability to translate complex technical concepts for stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLMs MLOps AWS Kubernetes Docker System Architecture San Francisco CA

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