Home Job Details
N
Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect (Project 2026)

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

Job Description

Are you ready to define the future of artificial intelligence? Nexus AI Labs is seeking a visionary Senior AI Architect to spearhead the development of Project 2026, our revolutionary generative AI platform designed to bridge the gap between human intent and machine execution.

In this high-impact role, you will architect scalable, fault-tolerant systems that push the boundaries of what is possible in neural processing. You won't just be writing code; you will be building the infrastructure for the next decade of technological evolution.

Why Join Us?

  • Work at the bleeding edge of Generative AI and Quantum-Ready algorithms.
  • Competitive equity package and performance bonuses.
  • Flexible remote-first policy with premium San Francisco office access.

We are looking for a leader who thrives in ambiguity and possesses the technical depth to solve complex problems.

Responsibilities

  • Design and implement robust, high-performance AI infrastructure for Project 2026.
  • Lead the architectural strategy for deep learning model deployment and optimization.
  • Collaborate with cross-functional teams to translate complex business requirements into technical solutions.
  • Conduct rigorous code reviews and technical mentorship for junior engineers.
  • Stay ahead of industry trends in AI, NLP, and edge computing integration.
  • Ensure system scalability, security, and data integrity across all environments.

Qualifications

  • 10+ years of experience in software engineering with a focus on AI/ML.
  • Master’s degree or PhD in Computer Science, Mathematics, or a related field.
  • Deep expertise in Python, PyTorch, and TensorFlow.
  • Proven track record of designing scalable distributed systems (AWS, GCP, or Azure).
  • Strong understanding of Transformer architectures and Large Language Models (LLMs).
  • Experience with MLOps pipelines and model versioning (MLflow, Kubeflow).

Required Skills

Python PyTorch TensorFlow Machine Learning AI Architecture Distributed Systems MLOps AWS GCP Transformer Models Neural Networks

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