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Senior AI Architect (Project 2026)

Apex Horizon Systems
Austin
Estimated Salary
USD 160.000 – USD 220.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

The Future is Now. Apex Horizon Systems is pioneering the next generation of cognitive computing. We are currently seeking a visionary Senior AI Architect to lead Project 2026, a cutting-edge initiative designed to redefine machine learning scalability and efficiency.

In this pivotal role, you won't just write code; you will architect the foundation of our next decade of innovation. You will work alongside world-class researchers and engineers to build AI systems capable of processing exabyte-scale data streams in real-time. If you are passionate about the intersection of theoretical AI and practical engineering, this is your opportunity to leave a lasting legacy.

Why Join Project 2026?

  • Work on ground-breaking technology that will shape the industry.
  • Competitive compensation and equity packages.
  • Flexible hybrid work environment in the heart of Austin's tech corridor.

Responsibilities

  • Design and implement scalable, fault-tolerant AI infrastructure for Project 2026.
  • Lead the architectural strategy for large-scale neural network deployment and optimization.
  • Mentor a team of top-tier data scientists and engineers, fostering a culture of innovation and technical excellence.
  • Collaborate with cross-functional stakeholders to translate business requirements into technical roadmaps.
  • Ensure code quality, security, and compliance across all AI development lifecycle phases.
  • Research and evaluate emerging AI frameworks and hardware accelerators to stay ahead of the curve.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
  • 8+ years of experience in software engineering, with at least 4 years focused on AI/ML architecture.
  • Deep expertise in Python, PyTorch, or TensorFlow, and experience with distributed systems.
  • Proven track record of leading high-impact engineering projects from conception to production.
  • Strong understanding of cloud-native architectures (AWS, Azure, or GCP) and Kubernetes.
  • Excellent communication skills with the ability to explain complex technical concepts to diverse audiences.

Required Skills

Python TensorFlow PyTorch AWS Kubernetes System Design Machine Learning Distributed Systems Leadership

Ready to Take This Challenge?

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