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Information Technology 🏒 Full Time ⭐️ Verified

Lead Artificial Intelligence Architect - 2026 Horizon

Nexus Dynamics
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Are you ready to define the future of technology?

Nexus Dynamics is seeking a visionary Lead Artificial Intelligence Architect to spearhead our 2026 Horizon initiative. We are building the infrastructure that will power the next decade of human-machine interaction. In this role, you will not just write code; you will architect the neural pathways of our future.

You will be at the intersection of quantum computing, generative AI, and ethical engineering. This is a high-impact role for a technical leader who thrives in ambiguity and is driven by the challenge of solving unsolved problems.

Why Join Us?

  • Impact First: Your work will directly influence the roadmap for the year 2026 and beyond.
  • Top-Tier Team: Collaborate with Ph.D. researchers and industry veterans.
  • Future-Proof: Work with bleeding-edge tools and methodologies.

Join us in Austin and help build the world of tomorrow.

Responsibilities

  • Define and execute the 2026 AI Strategy, aligning technical roadmaps with business objectives.
  • Architect scalable, fault-tolerant deep learning systems capable of processing petabytes of data.
  • Lead a team of senior engineers and data scientists in research and development of Generative AI models.
  • Bridge the gap between theoretical AI research and practical, production-grade software engineering.
  • Ensure ethical AI practices, including bias mitigation and transparency in algorithmic decision-making.
  • Establish best practices for MLOps, model deployment, and monitoring in a cloud-native environment.

Qualifications

  • Master’s or PhD degree in Computer Science, Mathematics, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years focused on Artificial Intelligence and Machine Learning.
  • Extensive experience with deep learning frameworks (TensorFlow, PyTorch) and large language models (GPT, LLaMA).
  • Proven track record of leading high-performance engineering teams and delivering complex systems on time.
  • Strong understanding of cloud infrastructure (AWS, Azure, or GCP) and containerization (Kubernetes, Docker).
  • Exceptional problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning Cloud Architecture MLOps Generative AI Kubernetes AWS

Ready to Take This Challenge?

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

Apply Now

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