Home Job Details
N
Information Technology 🏢 Full Time ⭐️ Verified

AI Infrastructure Architect (2026 Vision)

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Future Labs as our Lead AI Architect and help define the infrastructure landscape of 2026.

We are not just building software for today; we are architecting the future of intelligent systems. In this role, you will lead the deployment of next-gen neural networks and edge-computing solutions designed to scale for the demands of the coming decade. You will be at the forefront of integrating quantum-ready frameworks and optimizing high-performance computing clusters.

Why Join Us?

  • Work on cutting-edge projects that shape the 2026 tech landscape.
  • Competitive compensation package with equity options.
  • Flexible remote-first policy with a co-working hub in downtown SF.

Key Objectives:

  • Architect resilient, high-throughput infrastructure for large language models.
  • Implement security-first protocols for decentralized AI data pipelines.
  • Collaborate with cross-functional teams to integrate AI into core product ecosystems.

Responsibilities

  • Design and deploy scalable AI infrastructure stacks optimized for 2026 standards and future-proofing.
  • Manage the lifecycle of machine learning models, ensuring high availability and low latency.
  • Lead the migration to serverless and edge computing architectures to handle real-time data ingestion.
  • Conduct performance tuning and cost optimization on large-scale cloud resources (AWS/Azure/GCP).
  • Develop and enforce best practices for data governance and AI model compliance.
  • Collaborate with research teams to translate theoretical AI breakthroughs into production-ready systems.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • 5+ years of experience in backend engineering, specifically with Python, Go, or Rust.
  • Deep expertise in container orchestration (Kubernetes) and distributed systems.
  • Experience with AI/ML frameworks such as TensorFlow, PyTorch, or JAX.
  • Strong understanding of cloud-native architectures and microservices.
  • Ability to thrive in a fast-paced, innovative environment focused on the 2026 roadmap.

Required Skills

Python Kubernetes Machine Learning Cloud Architecture Distributed Systems TensorFlow AWS Rust Go DevOps AI Infrastructure

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