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Information Technology 🏢 Full Time ⭐️ Verified

AI Architect - 2026 Roadmap | Austin, TX

Nexus Horizon
Austin
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Are you ready to define the future of technology?

Nexus Horizon is at the forefront of the 2026 digital revolution. We are seeking a visionary AI Architect to lead our advanced research and engineering division. In this pivotal role, you will not just adapt to the future—you will build it.

We are looking for a technical leader who is passionate about Generative AI, ethical machine learning, and scalable infrastructure. If you are ready to tackle the challenges of tomorrow and shape the landscape for the next decade, apply today.

Why Join Nexus Horizon?

  • Future-Ready Environment: Work on cutting-edge projects designed to scale into 2026 and beyond.
  • Competitive Compensation: Base salary plus performance bonuses.
  • Flexible Culture: Remote-first hybrid model supporting your work-life balance.

Responsibilities

  • Architect the 2026 Vision: Design and implement the core architectural framework for our next-generation AI models and neural networks.
  • Lead R&D Initiatives: Spearhead research into emerging technologies, specifically focusing on Large Language Models (LLMs) and predictive analytics.
  • Infrastructure Scaling: Oversee the deployment and optimization of cloud-based machine learning pipelines on AWS and Azure.
  • Cross-Functional Collaboration: Partner with product managers, data scientists, and engineering teams to translate complex AI concepts into actionable business solutions.
  • Code Quality & Mentorship: Establish coding standards, conduct code reviews, and mentor junior engineers to foster a high-performance engineering culture.
  • Ethical AI Governance: Ensure all AI implementations adhere to strict ethical guidelines and regulatory standards.

Qualifications

  • Education: Master’s degree in Computer Science, Artificial Intelligence, or a related technical field (PhD preferred).
  • Experience: 7+ years of professional experience in software engineering with a focus on Machine Learning and Artificial Intelligence.
  • Technical Skills: Expert proficiency in Python, PyTorch, TensorFlow, and Scikit-learn.
  • Architecture: Deep understanding of distributed systems, microservices, and cloud architecture (AWS/GCP/Azure).
  • Problem Solving: Proven track record of solving complex technical problems in high-scale environments.
  • Communication: Excellent verbal and written communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Cloud Computing AWS Azure NLP Data Structures Algorithms System Design

Ready to Take This Challenge?

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

Apply Now

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