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

FutureScale Innovations
San Francisco
Estimated Salary
USD 160.000 – USD 225.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

We are seeking a visionary Senior AI Architect to design the technological landscape for the year 2026 and beyond.

At FutureScale Innovations, we are building the infrastructure for the next generation of autonomous systems and generative AI. If you are passionate about pushing the boundaries of what is possible in machine learning and want to define the future of technology, we want to hear from you.

Why join us?

  • Work on cutting-edge LLMs and AI agents.
  • Competitive compensation and equity packages.
  • Flexible remote and hybrid work options.

Responsibilities

  • Architect Future-Proof Systems: Design scalable, resilient AI infrastructure tailored for high-volume 2026 workloads.
  • Lead Model Development: Spearhead the research and implementation of proprietary Large Language Models (LLMs) and neural architectures.
  • MLOps Strategy: Build and maintain CI/CD pipelines for automated model training, deployment, and monitoring.
  • Cross-Functional Collaboration: Partner with product managers and engineers to translate complex AI capabilities into user-centric products.
  • Ethical AI Governance: Establish frameworks for responsible AI, bias mitigation, and data privacy compliance.

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, or a related technical field.
  • Technical Mastery: Deep expertise in Python, PyTorch, TensorFlow, or JAX.
  • Experience: 5+ years of experience in AI/ML engineering, with a proven track record of deploying production-grade models.
  • Cloud Expertise: Strong proficiency in AWS, GCP, or Azure.
  • Problem Solving: Exceptional ability to solve complex algorithmic challenges and optimize system performance.
  • Communication: Excellent written and verbal communication skills for technical and non-technical audiences.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning MLOps AWS GCP Data Science AI Architecture

Ready to Take This Challenge?

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