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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: 2026 Vision | San Francisco, CA

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Join Nexus Horizon Systems as we architect the intelligent infrastructure of tomorrow. We are on a mission to define the 2026 roadmap for enterprise AI, building scalable, predictive, and generative systems that redefine industry standards. We are looking for a visionary Senior AI Architect to lead our technical strategy and bridge the gap between theoretical AI advancements and practical, high-impact applications.

As a key player in our 2026 vision, you will have the autonomy to shape our technical direction, mentor a world-class engineering team, and deploy models that will power our platform for years to come.

Responsibilities

  • Architect and implement scalable AI/ML solutions designed to support long-term business growth and 2026 strategic goals.
  • Lead the design and deployment of robust data pipelines and MLOps infrastructure using cloud-native technologies.
  • Collaborate with product leadership to translate complex business requirements into technical AI roadmaps.
  • Define best practices for model training, validation, and ethical AI usage.
  • Mentor and develop a high-performing engineering team, fostering a culture of innovation and technical excellence.
  • Conduct deep-dive code reviews and architectural assessments to ensure system stability and scalability.
  • Stay ahead of emerging AI trends to ensure our technology stack remains competitive and future-proof.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep proficiency in Python, TensorFlow, PyTorch, and scikit-learn.
  • Strong expertise in MLOps, containerization (Docker/Kubernetes), and CI/CD pipelines.
  • Experience with cloud platforms (AWS, GCP, or Azure) and large-scale distributed systems.
  • Proven track record of leading technical teams through complex architectural challenges.
  • Excellent communication skills with the ability to present technical concepts to non-technical stakeholders.
  • Master’s degree in Computer Science, Artificial Intelligence, or a related field.

Required Skills

Python TensorFlow PyTorch Machine Learning MLOps Cloud Architecture AWS Kubernetes Data Engineering System Design 2026 Roadmap AI Strategy

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