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Senior AI Architect (2026 Vision)

Apex Innovations
Austin
Estimated Salary
USD 185.000 – USD 260.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Are you ready to architect the intelligent systems of tomorrow? Apex Innovations is seeking a visionary Senior AI Architect to lead our 2026 roadmap. We are building the next generation of autonomous agents and generative models that will redefine human-machine interaction.

Who You Are

You are not just an engineer; you are a futurist. You thrive in ambiguity and have a deep understanding of the trajectory of Artificial General Intelligence (AGI). You possess the technical prowess to design systems that are not only powerful but also ethical, scalable, and robust.

What You'll Do

As a Senior AI Architect, you will bridge the gap between theoretical research and practical application. You will guide a team of elite engineers in deploying cutting-edge AI solutions that power our global infrastructure.

Responsibilities

  • System Architecture: Design and implement scalable, distributed machine learning infrastructure tailored for high-frequency trading and real-time analytics.
  • Model Optimization: Lead efforts in model quantization, pruning, and inference optimization to deploy large language models on edge devices.
  • Team Leadership: Mentor junior architects and data scientists, fostering a culture of innovation and continuous learning within the AI division.
  • Strategic Roadmapping: Define the technical vision for AI projects through 2026, aligning research goals with business objectives.
  • R&D Integration: Collaborate with our R&D lab to integrate emerging breakthroughs (e.g., Neuro-symbolic AI) into production systems.

Qualifications

  • Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 7+ years of experience in software engineering with a heavy emphasis on Machine Learning and Deep Learning.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (Ray, Kubernetes).
  • Domain Knowledge: Deep understanding of Large Language Models (LLMs), Transformers, and Reinforcement Learning.
  • Certifications: Professional certification in AI/ML (e.g., AWS Machine Learning Specialty) is a plus.

Required Skills

Python PyTorch TensorFlow Kubernetes AWS Machine Learning Deep Learning System Design LLMs Cloud Computing

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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