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Information Technology 🏒 Full Time ⭐️ Verified

Future-Ready AI Architect | 2026 Vision

Horizon Systems Inc.
Austin
Estimated Salary
USD 180.000 – USD 260.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Join the Architects of Tomorrow.

Horizon Systems Inc. is pioneering the technological landscape for the year 2026 and beyond. We are seeking a visionary Senior AI Architect to lead the development of next-generation artificial intelligence systems. You won't just be building models; you are architecting the intelligence layer that will define the future of enterprise.

In this role, you will bridge the gap between theoretical machine learning breakthroughs and scalable, production-grade infrastructure. If you are passionate about Responsible AI, Generative Large Language Models (LLMs), and quantum-inspired computing, we want to meet you.

Why Horizon Systems?

  • Work on projects that set the standard for 2026 technology.
  • Competitive equity package and health benefits.
  • Flexible remote-first culture with state-of-the-art equipment.

Responsibilities

  • Design and architect scalable, high-performance AI systems capable of processing petabytes of data.
  • Lead the research and implementation of cutting-edge Generative AI models (Transformers, Diffusion models).
  • Define the technical vision for AI integration across all product verticals.
  • Ensure model reliability, safety, and ethical AI compliance (AI Safety & Alignment).
  • Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Collaborate with cross-functional teams to translate business requirements into technical AI solutions.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years specializing in Machine Learning and Deep Learning.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Proven experience deploying LLMs and NLP solutions at scale.
  • Strong understanding of distributed systems, cloud architecture (AWS/Azure), and MLOps pipelines.
  • Demonstrated leadership experience in guiding technical strategy and managing large engineering teams.

Required Skills

Python TensorFlow PyTorch AWS Kubernetes MLOps Large Language Models NLP Machine Learning Distributed Systems System Design

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