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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - Project 2026

Apex Innovation Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Join the Future of Technology.

We are looking for a visionary Senior AI Architect to spearhead Project 2026, our revolutionary generative intelligence platform. If you are passionate about pushing the boundaries of neural networks and want to define the infrastructure of tomorrow, this is your opportunity to lead from the front.

As a key member of our elite R&D division, you will design scalable, high-performance AI systems that solve complex global challenges. You will work closely with cross-functional teams of data scientists, engineers, and product managers to deliver state-of-the-art solutions.

Responsibilities

  • Architect and design scalable machine learning pipelines and distributed systems for Project 2026.
  • Lead the technical strategy for integrating cutting-edge Large Language Models (LLMs) into enterprise solutions.
  • Oversee the deployment of models in cloud environments, ensuring high availability and security standards.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Conduct rigorous performance tuning and optimization to enhance model inference speeds.
  • Collaborate with stakeholders to define technical roadmaps and product requirements.
  • Stay ahead of industry trends in AI research and implement best practices in software engineering.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years specializing in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, or similar machine learning frameworks.
  • Proven experience designing microservices and cloud-native architectures (AWS, GCP, or Azure).
  • Strong understanding of NLP, computer vision, or reinforcement learning.
  • Experience with Kubernetes, Docker, and MLOps tools (MLflow, Kubeflow).
  • Excellent leadership skills with a track record of leading high-performing engineering teams.
  • Master’s degree in Computer Science, Artificial Intelligence, or a related field is preferred.

Required Skills

Python TensorFlow PyTorch AWS GCP Kubernetes Docker MLOps NLP Machine Learning System Design Leadership

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