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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect (2026 Roadmap)

Nexus Future Systems
Austin
Estimated Salary
USD 140.000 – USD 190.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to architect the future? Nexus Future Systems is seeking a visionary Lead AI Architect to define the technological landscape for the year 2026 and beyond. In this pivotal role, you will bridge the gap between theoretical AI breakthroughs and scalable engineering solutions, ensuring our platforms remain at the forefront of innovation.

We are not just building software; we are engineering the trajectory of human-machine interaction for the next era. If you possess a deep understanding of generative models, ethical AI frameworks, and large-scale infrastructure, we want to hear from you.

Responsibilities

  • Define and execute the technical roadmap for AI systems targeting 2026 milestones, ensuring alignment with long-term strategic goals.
  • Architect and optimize complex neural network architectures to enhance performance, scalability, and energy efficiency.
  • Lead a cross-functional team of data scientists and engineers, fostering a culture of innovation and technical excellence.
  • Establish best practices for data governance, model security, and responsible AI deployment.
  • Collaborate with product stakeholders to translate futuristic concepts into actionable engineering specifications.
  • Monitor industry trends and emerging technologies to recommend strategic pivots and competitive advantages.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field.
  • 10+ years of experience in software engineering and AI/ML architecture, with at least 5 years in a leadership role.
  • Expert proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Kubernetes, Apache Spark).
  • Proven track record of deploying production-grade AI models that handle high-volume, low-latency data streams.
  • Strong understanding of ethical AI principles and regulatory compliance (GDPR, CCPA).
  • Demonstrated ability to thrive in fast-paced, agile environments and mentor junior talent.

Required Skills

Artificial Intelligence Machine Learning Python TensorFlow PyTorch Distributed Systems Cloud Architecture Leadership NLP Generative AI

Ready to Take This Challenge?

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