Home Job Details
Q
Information Technology 🏢 Full Time ⭐️ Verified

Future Tech Lead: AI & Automation Architect

Quantum Horizon Systems
Austin
Estimated Salary
USD 140.000 – USD 180.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Are you ready to define the future of work? Quantum Horizon Systems is seeking a visionary Future Tech Lead: AI & Automation Architect to spearhead our research and development initiatives. We are building the infrastructure for the year 2026 and beyond, focusing on generative AI, autonomous agents, and next-generation digital ecosystems.

In this role, you will bridge the gap between theoretical AI capabilities and practical, scalable enterprise solutions. You will work in a dynamic, high-performance environment that prioritizes innovation, ethical AI development, and rapid prototyping.

Why Join Us?

  • Impactful Work: Architect systems that will define the technological landscape for the next decade.
  • Elite Team: Collaborate with world-class engineers and data scientists.
  • Future-Proofing: Stay ahead of the curve with exposure to cutting-edge 2026 tech trends.

Responsibilities

  • Design and deploy scalable AI architectures for enterprise-level applications.
  • Lead R&D efforts into emerging technologies, specifically focusing on Generative AI and Predictive Analytics.
  • Optimize neural networks and machine learning models for high-velocity data processing.
  • Mentor junior developers and foster a culture of continuous learning and technical excellence.
  • Collaborate with cross-functional product teams to translate complex AI concepts into user-centric solutions.
  • Ensure compliance with data privacy regulations and ethical AI standards.
  • Prototype and validate future-proof technologies to prepare for the 2026 tech ecosystem.

Qualifications

  • Minimum of 5 years of experience in software engineering, data science, or AI architecture.
  • Deep proficiency in Python, PyTorch, or TensorFlow.
  • Experience with Large Language Models (LLMs) and Natural Language Processing (NLP).
  • Strong understanding of cloud infrastructure (AWS, Azure, or GCP) and containerization (Docker/Kubernetes).
  • Bachelor’s degree in Computer Science, Mathematics, or a related technical field.
  • Exceptional problem-solving skills and the ability to thrive in ambiguous, fast-paced environments.
  • Demonstrated ability to lead technical projects from conception to deployment.

Required Skills

Python Machine Learning AI Cloud Architecture NLP TensorFlow Docker Kubernetes AWS Strategic Planning

Ready to Take This Challenge?

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

Apply Now

Related Jobs

Similar job recommendations for you

View All