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Information Technology 🏢 Full Time ⭐️ Verified

Principal AI Architect: 2026 Strategic Initiative

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

The Future of Intelligence Starts Here.

Nexus Horizon is pioneering the next generation of artificial intelligence, and we are seeking a visionary Principal AI Architect to lead our 2026 Strategic Initiative. If you are passionate about building scalable, ethical, and groundbreaking AI systems that will define the landscape of the future, we want to hear from you.

In this role, you will not just write code; you will architect the foundation for our decade-defining products. You will work at the intersection of deep learning, predictive analytics, and ethical AI governance to solve complex problems for enterprise clients worldwide.

Join us in shaping the world of 2026 and beyond.

Responsibilities

  • Lead the end-to-end architectural design for the 2026 product roadmap, ensuring scalability and performance.
  • Develop and deploy state-of-the-art machine learning models, focusing on Natural Language Processing (NLP) and Computer Vision.
  • Mentor and guide a team of senior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Collaborate with cross-functional teams—including product managers, designers, and security experts—to translate business requirements into technical solutions.
  • Optimize existing algorithms for latency and throughput in high-traffic environments.
  • Stay abreast of the latest research in AI to continuously improve our core technology stack.
  • Define best practices for data governance, model deployment, and monitoring in production.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 8 years of experience in software engineering, with at least 5 years focused on AI/ML architecture.
  • Deep proficiency in Python, PyTorch, TensorFlow, and SQL.
  • Proven experience designing and implementing Large Language Models (LLMs) or Generative AI systems.
  • Strong understanding of distributed systems, cloud infrastructure (AWS/GCP), and containerization (Docker/Kubernetes).
  • Experience with MLOps tools and CI/CD pipelines.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLM Cloud Architecture AWS Kubernetes MLOps

Ready to Take This Challenge?

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