Home Job Details
N
Information Technology 🏒 Full Time ⭐️ Verified

Principal AI Architect (2026 Vision) | San Francisco, CA

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

We are pioneering the technological frontier, and we are looking for a visionary Principal AI Architect to define the roadmap for 2026 and beyond. In this pivotal role, you will lead the architecture and deployment of next-generation Generative AI systems and autonomous agents.

Join a world-class team dedicated to solving humanity's most complex challenges through advanced artificial intelligence. You will have the autonomy to shape the technical direction of our core products and mentor a team of elite engineers.

Responsibilities

  • Architect LLM Infrastructure: Design and implement scalable, high-performance systems for Large Language Models and multimodal AI applications.
  • Research Leadership: Spearhead research initiatives to improve model accuracy, reduce hallucinations, and enhance reasoning capabilities.
  • MLOps & Cloud Architecture: Oversee the deployment pipeline, ensuring robust CI/CD, monitoring, and infrastructure as code practices on AWS or GCP.
  • Technical Mentorship: Guide senior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Product Strategy: Collaborate with product leaders to translate complex technical concepts into market-defining AI features.
  • Ethical AI Compliance: Implement governance frameworks to ensure AI safety, fairness, and transparency.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 10+ years of experience in software engineering, with at least 5 years focused on Machine Learning and Deep Learning.
  • Technical Skills: Expert proficiency in Python, PyTorch, TensorFlow, or JAX.
  • System Design: Deep understanding of distributed systems, vector databases (e.g., Pinecone, Milvus), and MLOps tools (e.g., Kubernetes, Docker, MLflow).
  • Programming: Strong scripting skills in Go or Rust for high-performance backend services.
  • Leadership: Proven track record of leading cross-functional teams and delivering complex projects on time.

Required Skills

Artificial Intelligence Machine Learning Deep Learning LLMs Generative AI Python PyTorch MLOps Kubernetes Cloud Architecture San Francisco California Remote Hybrid

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

Related Jobs

Similar job recommendations for you

View All