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Senior AI Architect (2026 Roadmap)

Nexus Future Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Are you ready to define the standards of artificial intelligence for the 2026 era? Nexus Future Technologies is at the forefront of next-gen innovation, and we are seeking a visionary Senior AI Architect to lead our roadmap for advanced generative models and autonomous agents.

In this pivotal role, you will not just build models; you will architect the infrastructure that powers the future of human-machine interaction. You will work alongside world-class researchers and engineers to solve complex problems in natural language processing, computer vision, and ethical AI governance.

Why join Nexus? We are building the infrastructure for 2026 and beyond.

Responsibilities

  • Lead the architectural design and implementation of proprietary Large Language Models (LLMs) and multimodal AI systems.
  • Define the technical roadmap for AI capabilities targeted for deployment in 2026 and beyond.
  • Optimize model inference latency and scalability for high-volume production environments.
  • Establish best practices for MLOps, data governance, and ethical AI compliance.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Collaborate with cross-functional teams to integrate AI solutions into consumer-facing products.

Qualifications

  • PhD or Master’s degree in Computer Science, Machine Learning, or a related quantitative field.
  • 5+ years of professional experience in designing and deploying large-scale machine learning systems.
  • Deep expertise in Python, PyTorch, TensorFlow, or JAX.
  • Proven track record of leading end-to-end AI projects from research to production.
  • Strong understanding of distributed systems, cloud infrastructure (AWS/GCP/Azure), and containerization.
  • Experience with fine-tuning LLMs (e.g., GPT-4, Llama 3) and RAG architectures.

Required Skills

Python PyTorch Machine Learning Deep Learning MLOps AWS Distributed Systems LLMs Natural Language Processing

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