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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
5 Juli 2026
Deadline
5 Jul 2027

Job Description

We are on a mission to architect the intelligence of tomorrow. Nexus Future Systems is seeking a visionary Senior AI Architect to lead the development of our proprietary Agentic AI framework, designed to define the technological landscape of 2026 and beyond. You will be at the forefront of merging large language models with autonomous decision-making agents.

If you are passionate about pushing the boundaries of generative AI, building scalable systems, and solving complex problems in real-time, we want to hear from you.

Responsibilities

  • Design and implement next-generation Agentic AI architectures capable of autonomous reasoning and execution.
  • Lead the architecture for multi-modal AI models, integrating vision, text, and auditory data streams.
  • Optimize large-scale transformer models for edge deployment and low-latency inference.
  • Collaborate with cross-functional teams to translate business requirements into technical roadmaps.
  • Establish best practices for data privacy, security, and ethical AI usage.
  • Mentor junior engineers and conduct code reviews to maintain high technical standards.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
  • 7+ years of experience in software engineering, with at least 4 years specifically in Machine Learning or Deep Learning.
  • Proficiency in Python, PyTorch, and TensorFlow.
  • Experience with Large Language Models (LLMs) and fine-tuning techniques (e.g., LoRA, QLoRA).
  • Strong understanding of distributed systems, cloud infrastructure (AWS/Azure/GCP), and containerization (Docker/Kubernetes).
  • Proven track record of deploying AI models to production environments.

Required Skills

Python PyTorch TensorFlow Large Language Models Agentic AI Machine Learning Deep Learning Distributed Systems Cloud Computing Docker Kubernetes AWS GCP

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