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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: 2026 Roadmap

Vertex AI Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are seeking a visionary Senior AI Architect to lead the development of our cutting-edge infrastructure and define our 2026 strategic roadmap. At Vertex AI Solutions, we are not just building software; we are architecting the future of intelligent systems. You will be responsible for designing scalable, robust, and ethically sound AI solutions that will define our product landscape for years to come.

Why join us? We offer a competitive package, fully remote flexibility, and the opportunity to work on projects that impact millions. If you are passionate about pushing the boundaries of generative AI and machine learning, we want to hear from you.

Responsibilities

  • Architect 2026 Roadmap: Design and implement the long-term technical strategy for AI infrastructure, ensuring scalability and future-proofing our platform.
  • System Design: Lead the design of complex distributed systems, focusing on deep learning models and real-time data processing pipelines.
  • Technical Leadership: Mentor a team of top-tier engineers, conducting code reviews and architectural discussions to maintain high standards of excellence.
  • Model Optimization: Drive the research and deployment of state-of-the-art Large Language Models (LLMs) and neural networks to improve performance metrics.
  • Collaboration: Work closely with product managers and stakeholders to translate business requirements into technical solutions.
  • Security & Compliance: Ensure all AI systems adhere to strict data privacy regulations and ethical AI guidelines.

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence.
  • Experience: Minimum of 7 years of experience in software engineering, with at least 4 years specifically in AI/ML architecture.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with cloud platforms (AWS, GCP, or Azure).
  • Leadership: Proven track record of leading high-performing engineering teams and managing cross-functional projects.
  • Problem Solving: Strong ability to solve complex technical challenges and innovate under pressure.
  • Communication: Excellent verbal and written communication skills, capable of presenting technical concepts to non-technical audiences.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning System Design Cloud Architecture (AWS/GCP) Kubernetes Docker Agile Methodology

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