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Senior AI Architect (2026 Roadmap) - San Francisco, CA

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are pioneering the next generation of Artificial Intelligence. As a Senior AI Architect at Nexus Future Labs, you will be at the forefront of the 2026 evolution of AI. We are looking for a technical visionary to design scalable, robust, and ethical AI systems that define the industry standard for the coming decade.

Why Join Us?

  • Work on cutting-edge Generative AI and Quantum-ML hybrid systems.
  • Competitive compensation package with equity options.
  • Remote-first culture with flexible working hours.
  • Access to state-of-the-art hardware and research data.

Responsibilities

  • Lead Architectural Design: Design and implement scalable AI infrastructure capable of supporting high-volume, low-latency inference for the 2026 market.
  • Model Development: Spearhead the training and fine-tuning of Large Language Models (LLMs) and multimodal systems using PyTorch and TensorFlow.
  • Roadmap Strategy: Define the technical roadmap for AI evolution, anticipating trends in autonomous agents and synthetic data.
  • Code Quality: Establish and enforce coding standards, architectural patterns, and best practices for the engineering team.
  • Performance Optimization: Continuously monitor model performance, optimize latency, and reduce computational costs.
  • Collaboration: Work closely with product managers and data scientists to translate business requirements into technical solutions.
  • Mentorship: Mentor junior engineers and provide technical leadership within the AI research division.

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, or a related technical field.
  • Experience: 5+ years of experience in AI/ML engineering, with at least 2 years in a senior architectural role.
  • Technical Skills: Proficiency in Python, C++, and cloud platforms (AWS/GCP/Azure).
  • Frameworks: Deep expertise in PyTorch, TensorFlow, or JAX.
  • 2026 Readiness: Experience with MLOps, model versioning (MLflow), and deployment on edge devices.
  • Problem Solving: Strong ability to troubleshoot complex architectural challenges and optimize system bottlenecks.
  • Communication: Excellent written and verbal communication skills for cross-functional collaboration.

Required Skills

Python PyTorch Machine Learning AI Architecture MLOps TensorFlow AWS System Design

Ready to Take This Challenge?

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