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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: 2026 Roadmap

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
Live Update
13 Mei 2026
Deadline
13 Mei 2027

Job Description

Architect the Intelligence of Tomorrow.

Nexus Future Systems is pioneering the next generation of Artificial Intelligence. We are seeking a visionary Senior AI Architect to lead our strategic roadmap toward 2026. In this role, you won't just be building models; you will define the trajectory of AI for the next decade.

We are looking for a technical leader who is obsessed with scalability, ethics, and innovation. You will collaborate with world-class researchers and engineers to build the AI infrastructure that will power the enterprise of 2026.

Why Join Us?

  • Shape the future of Generative AI and LLMs.
  • Work in a high-performance, remote-first culture.
  • Competitive compensation package and equity options.
  • Access to cutting-edge hardware and research facilities.

Core Responsibilities:

Responsibilities

  • Define and execute the long-term technical roadmap for Nexus AI, specifically targeting capabilities required by 2026.
  • Architect scalable, fault-tolerant systems for Large Language Models (LLMs) and multimodal AI agents.
  • Lead a cross-functional team of engineers, data scientists, and product managers to deliver breakthrough AI features.
  • Drive research initiatives to improve model efficiency, reduce bias, and enhance safety standards.
  • Establish best practices for MLOps, model deployment, and monitoring in a production environment.
  • Advocate for ethical AI usage and ensure compliance with emerging regulatory frameworks.

Qualifications:

Qualifications

  • PhD or Master’s degree in Computer Science, Machine Learning, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years focused on AI/ML architecture.
  • Deep expertise in Deep Learning frameworks such as PyTorch, TensorFlow, or JAX.
  • Proven track record of shipping large-scale machine learning products to market.
  • Strong background in Natural Language Processing (NLP) and Generative AI models.
  • Experience with distributed systems, cloud infrastructure (AWS/GCP/Azure), and containerization (Docker/K8s).
  • Excellent communication skills with the ability to translate complex technical concepts for diverse stakeholders.

Required Skills

Generative AI LLMs Deep Learning Python PyTorch TensorFlow NLP MLOps Distributed Systems Cloud Computing Machine Learning Architecture

Ready to Take This Challenge?

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