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Senior AI Architect (2026 Vision)

Horizon Tech Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Are you ready to architect the future?

We are seeking a visionary Senior AI Architect to lead our forward-thinking team as we define the technological roadmap for 2026 and beyond. At Horizon Tech Solutions, we are not just building software; we are engineering the next era of intelligent, scalable systems. If you are passionate about the intersection of Generative AI, Large Language Models, and enterprise infrastructure, we want to meet you.

In this role, you will bridge the gap between theoretical research and practical application, ensuring our AI solutions are robust, ethical, and ready for global scale. You will work closely with C-suite executives and product leaders to turn the ambitious goals of 2026 into tangible reality.

Responsibilities

  • Define the 2026 AI Strategy: Lead the architectural vision for our next-generation AI infrastructure, focusing on scalability, latency optimization, and cost efficiency.
  • Design Scalable Pipelines: Architect end-to-end Machine Learning pipelines, from data ingestion and processing to model training, evaluation, and deployment (MLOps).
  • Lead Innovation: Research and prototype cutting-edge technologies (e.g., Reinforcement Learning from Human Feedback, Autonomous Agents) to stay ahead of industry trends.
  • Model Optimization: Drive performance tuning and quantization strategies to ensure models run efficiently on edge devices and massive server clusters.
  • Mentorship: Foster a culture of technical excellence by mentoring junior engineers and conducting code reviews.

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, or a related field (or equivalent practical experience).
  • Experience: 5+ years of professional experience in software engineering, with at least 3 years specifically focused on AI/ML architecture.
  • Technical Proficiency: Deep expertise in Python, PyTorch, TensorFlow, and distributed systems.
  • Cloud Mastery: Proven experience deploying models on major cloud providers (AWS, GCP, or Azure) using Kubernetes and Docker.
  • Strategic Mindset: Ability to translate complex business requirements into technical roadmaps and architectural decisions.

Required Skills

Python TensorFlow PyTorch AWS Kubernetes Docker MLOps Generative AI Large Language Models Machine Learning Distributed Systems NLP

Ready to Take This Challenge?

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