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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Senior Strategic AI Architect (2026 Roadmap)

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

We are looking for a visionary Senior Strategic AI Architect to define the technological future of Nexus Horizon Systems. In this role, you will not only write code but architect the very foundation of our AI-driven products for the 2026 era. You will be at the intersection of business strategy and technical excellence, leading a team of elite engineers to build scalable, ethical, and transformative AI systems.

If you thrive in high-pressure environments and are passionate about solving complex problems with Artificial Intelligence, this is your opportunity to shape the next decade of technology.

Responsibilities

  • Define and execute the comprehensive technical roadmap for AI infrastructure leading up to 2026.
  • Design scalable, fault-tolerant architectures for large-scale distributed systems and LLM deployments.
  • Lead a high-performing team of Machine Learning Engineers and Data Scientists.
  • Establish best practices for MLOps, CI/CD pipelines, and rigorous model governance.
  • Collaborate with product leadership to translate strategic business goals into technical specifications.
  • Ensure compliance with global data privacy regulations and ethical AI standards.
  • Promote a culture of continuous innovation and technical excellence across the organization.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and cloud-native technologies (AWS/GCP/Azure).
  • Proven track record of leading and mentoring engineering teams to deliver high-impact products.
  • Extensive experience designing and deploying Large Language Models (LLMs) and Generative AI solutions.
  • Strong understanding of system design, microservices, and distributed database management.
  • Master’s degree or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.

Required Skills

Python TensorFlow PyTorch AWS Kubernetes MLOps System Architecture LLMs Machine Learning Leadership

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