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Senior AI Architect - 2026 Vision

Apex Horizon Solutions
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join the Architects of Tomorrow.

Apex Horizon Solutions is pioneering the next generation of Artificial General Intelligence (AGI) systems. We are looking for a visionary Senior AI Architect to lead the infrastructure for our 2026 product roadmap. In this role, you will bridge the gap between theoretical AI research and scalable, production-ready engineering.

You will define the architectural standards for our autonomous agent networks, ensuring they are secure, ethical, and capable of handling real-time global data streams. If you want to build the AI systems that define the future, this is your opportunity.

Responsibilities

  • Architect Design: Design and implement scalable, high-performance AI infrastructure pipelines capable of supporting 2026-era data volumes and processing speeds.
  • Strategic Roadmap: Lead the technical strategy for integrating Generative AI and predictive modeling into core business operations.
  • Model Optimization: Oversee the fine-tuning and deployment of Large Language Models (LLMs) to ensure optimal latency and cost-efficiency.
  • Cross-Functional Leadership: Collaborate with data scientists, security experts, and product managers to translate business needs into technical blueprints.
  • System Reliability: Implement robust MLOps practices to ensure 99.99% system uptime and seamless rollback capabilities.
  • Ethical AI Governance: Establish frameworks for AI safety, bias mitigation, and compliance with emerging global regulations.

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, or a related field, or equivalent professional experience.
  • Experience: 8+ years of experience in software engineering, with at least 4 years specifically in AI/ML architecture.
  • Technical Stack: Deep proficiency in Python, PyTorch, TensorFlow, and experience with distributed computing frameworks (Kubernetes, Spark).
  • Cloud Mastery: Extensive experience designing systems on AWS, Azure, or Google Cloud Platform.
  • Problem Solving: Demonstrated ability to solve complex, unstructured problems with elegant, scalable code solutions.
  • Leadership: Proven track record of mentoring engineering teams and driving technical best practices.

Required Skills

Python PyTorch TensorFlow MLOps Kubernetes AWS Machine Learning Architecture Generative AI System Design

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