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Information Technology 🏢 Full Time ⭐️ Verified

Head of AI Strategy & Architecture

Nexus Horizon Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
20 Mei 2026
Deadline
20 Mei 2027

Job Description

We are at the precipice of a technological revolution, and Nexus Horizon Solutions is leading the charge into the 2026 era. We are seeking a visionary Head of AI Strategy & Architecture to define the blueprint for our next-generation artificial intelligence infrastructure. In this pivotal role, you will not only manage our current AI roadmap but will also architect the systems required to thrive in a post-AGI landscape.

As a pioneer in the field, you will collaborate with cross-functional teams to integrate cutting-edge machine learning models into our core products. You will ensure our solutions are scalable, ethical, and future-proof. If you are passionate about shaping the future of technology and have a keen eye for strategic implementation, we want to hear from you.

Responsibilities

  • Define and execute a comprehensive AI strategy roadmap aligned with our 2026 business objectives and technological advancements.
  • Architect scalable machine learning pipelines and neural network architectures for enterprise-level applications.
  • Lead the research and integration of emerging AI technologies, including Large Language Models (LLMs) and generative adversarial networks.
  • Oversee the development of AI ethics guidelines and ensure compliance with global data privacy regulations.
  • Mentor a high-performing team of data scientists and AI engineers to foster innovation and technical excellence.
  • Drive partnerships with academic institutions and tech startups to stay ahead of the curve in AI innovation.

Qualifications

  • 10+ years of experience in software engineering, data science, or artificial intelligence, with at least 5 years in a leadership or architectural role.
  • Deep technical expertise in Python, TensorFlow, PyTorch, or similar deep learning frameworks.
  • Proven track record of designing complex systems that handle high-volume, high-velocity data processing.
  • Strong understanding of cloud infrastructure (AWS, GCP, Azure) and microservices architecture.
  • Excellent communication skills with the ability to translate complex technical concepts into actionable business strategies.
  • Experience in implementing AI solutions in regulated industries (e.g., FinTech, HealthTech) is highly preferred.

Required Skills

Artificial Intelligence Machine Learning Python Cloud Architecture Neural Networks Strategic Planning Leadership Data Engineering

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