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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Infrastructure Architect (2026 Roadmap)

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

Job Description

Are you ready to architect the future of intelligent systems? Nexus Horizon Solutions is seeking a visionary Senior AI Infrastructure Architect to define our strategic roadmap leading up to 2026.

In this pivotal role, you will bridge the gap between cutting-edge artificial intelligence research and scalable, enterprise-grade infrastructure. We are not just building for today; we are engineering the foundation for the next era of AI evolution. If you thrive in a high-performance environment and possess a deep understanding of generative AI, large-scale model deployment, and cloud architecture, we want to meet you.

Why Join Us?

  • Shape the strategic vision for AI scaling through 2026 and beyond.
  • Work with state-of-the-art technology stack including Python, TensorFlow, and Kubernetes.
  • Competitive compensation and equity package.

Join a team that is redefining the boundaries of what is possible in the AI landscape.

Responsibilities

  • Define the 2026 AI Roadmap: Lead the strategic planning and execution of AI infrastructure initiatives, ensuring alignment with long-term business goals.
  • Scalable Architecture Design: Design and implement robust, scalable architectures for Large Language Models (LLMs) and Generative AI applications.
  • System Optimization: Oversee the deployment, monitoring, and optimization of AI models to ensure high availability and low latency.
  • Cross-Functional Leadership: Collaborate with data scientists, software engineers, and product managers to translate technical requirements into architectural solutions.
  • Security & Compliance: Implement rigorous security protocols and governance frameworks to protect sensitive AI data.
  • Cost Management: Optimize cloud resource usage to minimize operational expenditure while maximizing performance.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 8+ years of experience in software engineering, with at least 4 years specifically in AI infrastructure and MLOps.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, or JAX. Deep experience with cloud providers (AWS, GCP, or Azure).
  • Strategic Thinking: Proven track record of leading technical roadmaps and making strategic decisions that drive business growth.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.
  • Future-Forward Mindset: Passionate about emerging technologies and keeping abreast of the latest advancements in AI for 2026 and beyond.

Required Skills

Artificial Intelligence Machine Learning Python Cloud Architecture MLOps Kubernetes TensorFlow Generative AI Strategic Planning System Design

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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