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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI & Future Systems Architect

NexaGen Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

NexaGen Horizon is pioneering the technological landscape for the year 2026. We are looking for a visionary Senior AI & Future Systems Architect to lead our R&D efforts in building scalable, agentic AI systems. You will be at the forefront of defining the infrastructure that powers the next generation of intelligent applications.

In this role, you will bridge the gap between theoretical AI research and production-grade engineering. You will design architectures capable of handling exponential data growth and real-time decision-making, ensuring our platform remains robust and future-ready.

Responsibilities

  • Design and implement cutting-edge AI architectures for 2026 readiness, focusing on scalability and fault tolerance.
  • Lead the research and development of Agentic AI workflows and autonomous systems.
  • Collaborate with cross-functional teams to integrate Large Language Models (LLMs) into enterprise solutions.
  • Mentor senior engineers and conduct technical architecture reviews to ensure code quality.
  • Optimize model latency and inference costs across distributed cloud environments.
  • Define technical roadmaps for AI infrastructure upgrades and modernization.

Qualifications

  • 8+ years of experience in software engineering, with at least 4 years in AI/ML architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, and modern MLOps tools (MLflow, Kubeflow).
  • Proven track record of deploying LLMs and Generative AI applications at scale.
  • Strong understanding of distributed systems, microservices, and cloud-native architecture (AWS/GCP/Azure).
  • Experience with vector databases (Pinecone, Milvus) and RAG (Retrieval-Augmented Generation) pipelines.
  • Excellent communication skills with the ability to translate complex technical concepts for diverse stakeholders.

Required Skills

AI Architecture Python MLOps LLMs Machine Learning Cloud Computing Distributed Systems Generative AI Kubernetes

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