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Senior AI Architect (2026 Horizon) - San Francisco, CA

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

Job Description

We are on a mission to redefine the technological landscape and are seeking a visionary Senior AI Architect to lead our strategic planning for 2026 and beyond. In this pivotal role, you will define the architectural blueprint for our next-generation AI systems, ensuring scalability, security, and performance in a rapidly evolving market.

As a key thought leader, you will bridge the gap between theoretical research and practical application, guiding a team of elite engineers to build systems that will power the future of enterprise intelligence. If you are passionate about shaping the roadmap for 2026 and want to work with cutting-edge technology, this is your opportunity.

Responsibilities

  • Define the comprehensive technical vision and architectural strategy for the 2026 product roadmap, aligning with business objectives.
  • Lead the design and implementation of scalable machine learning infrastructure and distributed systems.
  • Oversee the research and deployment of state-of-the-art AI models, including Large Language Models (LLMs) and predictive analytics engines.
  • Mentor and cultivate a high-performance engineering team, fostering a culture of innovation and technical excellence.
  • Evaluate emerging technologies to ensure our stack remains future-proof for the 2026 era.
  • Collaborate with cross-functional stakeholders, including Product Managers and Data Scientists, to translate complex requirements into robust technical solutions.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture and system design.
  • Strong proficiency in Python, C++, and frameworks such as TensorFlow, PyTorch, and Apache Spark.
  • Demonstrated experience leading engineering teams through the full software development lifecycle (SDLC).
  • Master’s degree in Computer Science, Artificial Intelligence, or a related technical field (PhD preferred).
  • Proven track record of deploying high-availability, cloud-native applications in AWS or Azure environments.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

AI Machine Learning System Architecture Python TensorFlow PyTorch Cloud Computing AWS Leadership Deep Learning NLP Distributed Systems

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