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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Systems Architect (2026 Roadmap)

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
2 Juni 2026
Deadline
2 Jun 2027

Job Description

Architect the Future of Intelligence. Nexus Horizon Technologies is leading the charge into the next era of computing. We are seeking a visionary Senior AI Systems Architect to design the infrastructure that will power our applications in the year 2026. This role is critical in defining how we integrate quantum-ready neural networks with edge computing devices.

You will be at the forefront of the AI revolution, bridging the gap between theoretical research and production-grade engineering. If you are driven by the challenge of scalability and the promise of next-gen AI, this is your opportunity to shape the technological landscape.

Responsibilities

  • Design and implement scalable, high-performance AI infrastructure optimized for the 2026 computing landscape.
  • Lead the architectural transition to cloud-native and edge-computing environments, ensuring seamless data flow.
  • Develop and maintain robust MLOps pipelines to automate model training, validation, and deployment.
  • Collaborate with cross-functional teams to integrate generative AI models into core product features.
  • Ensure system security, data privacy, and compliance with emerging global regulations.
  • Mentor senior engineers and foster a culture of innovation and technical excellence.

Qualifications

  • 10+ years of software engineering experience with at least 5 years specializing in AI/ML systems architecture.
  • Expert proficiency in Python, TensorFlow, PyTorch, and modern programming languages.
  • Strong background in distributed systems, microservices, and containerization (Kubernetes/Docker).
  • Experience with cloud platforms (AWS, GCP, Azure) and serverless architectures.
  • Understanding of quantum computing concepts and neuromorphic hardware integration is a plus.
  • Master’s degree or PhD in Computer Science, AI, or a related field preferred.

Required Skills

Python TensorFlow PyTorch Kubernetes MLOps Cloud Architecture Distributed Systems AI Infrastructure Generative AI AWS

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