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Senior AI Architect (2026 Roadmap)

FutureScale Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join FutureScale Solutions in defining the technological landscape for 2026. We are seeking a visionary Senior AI Architect to lead our strategic initiatives in Generative AI and Large Language Models. You will be at the forefront of building the infrastructure that powers the future of human-machine interaction.

Role Overview: In this pivotal role, you will bridge the gap between theoretical AI research and scalable production engineering. You will be responsible for architecting systems that are not only robust but also aligned with our long-term vision for the year 2026 and beyond.

Why You Should Apply:

  • Impact: Directly influence the strategic direction of our AI products.
  • Growth: Work with cutting-edge technologies in a high-performance environment.
  • Culture: Join a diverse team of thought leaders and innovators.

Responsibilities

  • Architect and deploy scalable AI/ML models aligned with the company's 2026 technology roadmap.
  • Lead the research and development of Generative AI applications and Large Language Models (LLMs).
  • Translate high-level strategic goals into concrete technical specifications and engineering plans.
  • Oversee the end-to-end MLOps lifecycle, ensuring model reliability and performance.
  • Establish and enforce best practices for ethical AI, data governance, and security.
  • Mentor and guide a team of talented data scientists and machine learning engineers.
  • Collaborate with product management to define feature sets that drive market leadership.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 6 years of experience in Machine Learning engineering, with a focus on deep learning.
  • Deep proficiency in Python, PyTorch, TensorFlow, and Hugging Face.
  • Extensive experience building and deploying LLMs and transformer architectures.
  • Strong background in MLOps, cloud infrastructure (AWS/GCP), and containerization (Docker/Kubernetes).
  • Proven ability to lead cross-functional teams and manage complex technical projects.
  • Exceptional problem-solving skills and a passion for the future of technology.

Required Skills

Python PyTorch TensorFlow MLOps Machine Learning LLMs Generative AI Cloud Computing Leadership Deep Learning

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