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Senior AI Architect | Shaping the Future of 2026

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

Job Description

We are on a mission to define the Artificial Intelligence landscape of 2026. Nexus Future Systems is seeking a visionary Senior AI Architect to lead our advanced agentic AI division. If you are passionate about building autonomous systems, generative models, and next-generation neural networks, this is your opportunity to lead from the front.

In this role, you won't just be maintaining existing codebases; you will architect the infrastructure that powers the intelligent web of tomorrow. You will collaborate with world-class researchers and engineers to deploy scalable, robust AI solutions that redefine user experiences.

Why Join Us?

  • Work with cutting-edge technology aimed at the 2026 market.
  • Competitive compensation package and equity opportunities.
  • Flexible remote-first policy with premium benefits.

Responsibilities

  • Architect and implement scalable AI infrastructure capable of supporting millions of concurrent requests.
  • Lead the design and fine-tuning of Large Language Models (LLMs) and multimodal agents.
  • Oversee the end-to-end MLOps pipeline, from model training to deployment and monitoring.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Define technical roadmaps for AI product development aligned with 2026 business goals.
  • Ensure ethical AI practices and data privacy compliance in all model deployments.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
  • Strong proficiency in Python, PyTorch, and TensorFlow.
  • Deep understanding of Deep Learning, NLP, and Computer Vision.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Proven track record of delivering production-ready AI products in high-scale environments.
  • Master’s degree or PhD in Computer Science, AI, or a related technical field.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP Cloud Architecture MLOps Kubernetes AWS Generative AI

Ready to Take This Challenge?

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