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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect - 2026 Vision

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Are you ready to shape the technological landscape of 2026? Nexus Future Systems is at the forefront of innovation, and we are seeking a visionary Senior AI Architect to lead our upcoming strategic roadmap. In this pivotal role, you will design the core infrastructure for next-generation generative AI and autonomous systems.

We are looking for a thought leader who not only understands current Deep Learning architectures but can also foresee the evolution of AI in the 2026 era. You will work closely with cross-functional teams to translate futuristic concepts into scalable, production-ready solutions.

Why join us?

  • Work on cutting-edge AI infrastructure designed for the future.
  • Competitive compensation and equity packages.
  • Flexible remote-first policy with access to premium co-working spaces in the Bay Area.

Responsibilities

  • Architect and implement scalable AI/ML infrastructure to support 2026 technology roadmaps.
  • Lead the design of large language model (LLM) fine-tuning pipelines and deployment strategies.
  • Define best practices for data governance, model security, and ethical AI usage.
  • Mentor junior engineers and data scientists, fostering a culture of innovation.
  • Collaborate with product managers to define AI-driven features and user experiences.
  • Optimize model inference for low-latency, high-volume environments.

Qualifications

  • 10+ years of experience in software engineering, machine learning, or data science.
  • Deep expertise in Python, PyTorch, TensorFlow, or JAX.
  • Proven experience designing distributed systems and cloud-native architectures on AWS or GCP.
  • Strong understanding of LLMs, Transformers, and NLP techniques.
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
  • Experience with MLOps tools (MLflow, Kubeflow, Airflow).

Required Skills

Python PyTorch TensorFlow AWS GCP LLMs MLOps Deep Learning System Design AI Architecture

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