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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Senior AI Architect: 2026 Vision

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

We are on the cusp of a technological renaissance, and Nexus Horizon Labs is building the engines that will drive the 2026 era of autonomous intelligence. We are seeking a visionary Senior AI Architect to lead the design and implementation of next-generation generative models and agentic workflows.

In this role, you will not just write code; you will define the architectural paradigms for the future. You will collaborate with cross-functional teams to integrate cutting-edge AI capabilities into scalable products that redefine user experiences. If you are passionate about pushing the boundaries of what is possible in artificial intelligence and want to be at the forefront of the 2026 tech landscape, we want to hear from you.

Responsibilities

  • Architect and lead the development of large-scale Generative AI models and multi-agent systems.
  • Define the technical roadmap for AI infrastructure, ensuring scalability, security, and performance for 2026 standards.
  • Collaborate with product managers and engineers to translate complex business requirements into robust AI solutions.
  • Optimize model inference latency and reduce operational costs through advanced MLOps strategies.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Stay ahead of industry trends, specifically focusing on advancements in LLMs, reinforcement learning, and neural-symbolic AI.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 7+ years of professional experience in machine learning engineering or software architecture, with a focus on AI/ML.
  • Deep expertise in Python, PyTorch, TensorFlow, or JAX.
  • Proven track record of deploying production-grade AI models serving millions of users.
  • Strong understanding of distributed systems, cloud architecture (AWS/GCP/Azure), and containerization (Docker/Kubernetes).
  • Exceptional problem-solving skills and the ability to thrive in fast-paced, ambiguous environments.

Required Skills

Python PyTorch TensorFlow MLOps Distributed Systems AWS Docker Kubernetes LLMs Generative AI Machine Learning Engineering

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