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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Future Tech Architect

Nexus Future Systems
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are seeking a visionary Senior AI & Future Tech Architect to lead our Research and Development division into the next era of technology. As we prepare for the rapid advancements of 2026 and beyond, you will be at the forefront of designing scalable, ethical, and revolutionary AI systems.

In this role, you won't just maintain the status quo; you will architect the infrastructure that powers our next generation of autonomous solutions. You will collaborate with cross-functional teams to integrate cutting-edge machine learning models with cloud-native architectures.

Why Join Us?

  • Work on high-impact projects that define the future.
  • Competitive compensation package and equity options.
  • Flexible remote-first culture with headquarters in Austin.
  • Access to the latest hardware and software tools.

Responsibilities

  • Design and implement scalable AI architectures for enterprise-level applications.
  • Lead the R&D roadmap focusing on Generative AI, LLMs, and Predictive Analytics for the 2026 timeframe.
  • Optimize existing machine learning pipelines to improve efficiency and reduce latency.
  • Establish best practices for data governance, model deployment, and ethical AI usage.
  • mentor junior engineers and data scientists, fostering a culture of continuous learning.
  • Collaborate with product managers to translate complex AI capabilities into user-friendly features.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 5 years of experience in AI/ML engineering, with at least 2 years in a senior architectural role.
  • Strong proficiency in Python, PyTorch, TensorFlow, or JAX.
  • Proven experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Deep understanding of Natural Language Processing (NLP) and Computer Vision.
  • Experience with MLOps and model versioning tools (MLflow, Airflow).

Required Skills

Python TensorFlow AWS Machine Learning AI Ethics NLP Deep Learning Cloud Architecture Leadership MLOps

Ready to Take This Challenge?

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