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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Horizon Initiative

Nexus Future Tech
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

We are on a mission to define the landscape of work in the year 2026 and beyond. Nexus Future Tech is seeking a visionary Senior AI Architect to lead our groundbreaking Horizon Initiative. You will be at the forefront of developing next-generation Generative AI systems that seamlessly integrate into complex enterprise ecosystems.

In this pivotal role, you won't just write code; you will shape the ethical frameworks and technical architectures that will power the autonomous workforce of tomorrow.

Join us in San Francisco and help build the future.

Responsibilities

  • Architect and deploy state-of-the-art Large Language Models (LLMs) tailored for enterprise automation.
  • Lead the design of scalable MLOps pipelines to ensure model reliability and real-time inference.
  • Establish and enforce rigorous ethical AI guidelines and bias mitigation strategies.
  • Collaborate with cross-functional product teams to translate futuristic concepts into deployable technical solutions.
  • Mentor junior engineers and foster a culture of innovation and technical excellence within the AI lab.
  • Monitor model performance in production environments and implement continuous optimization strategies.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Machine Learning, or a related technical field.
  • 8+ years of experience in software engineering with a focus on AI/ML systems.
  • Deep expertise in Python, PyTorch, TensorFlow, or JAX.
  • Proven track record of deploying large-scale AI models in production environments.
  • Strong understanding of distributed systems, cloud infrastructure (AWS/GCP), and containerization (Docker/Kubernetes).
  • Experience with vector databases and RAG (Retrieval-Augmented Generation) architectures.

Required Skills

Python PyTorch Machine Learning MLOps Cloud Computing Distributed Systems NLP AI Architecture Kubernetes Docker

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