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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: 2026 Horizon

Nexus Future Labs
Austin
Estimated Salary
USD 180.000 – USD 240.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are pioneering the technology landscape for the 2026 era. Nexus Future Labs is seeking a visionary Senior AI Architect to lead our research into next-generation artificial intelligence systems. If you are passionate about building scalable, ethical, and transformative AI infrastructures that will define the future, we want to hear from you.

In this role, you will bridge the gap between theoretical AI research and production-grade software engineering, ensuring our systems are ready for the demands of the coming decade.

Responsibilities

  • Architect Future-Proof Systems: Design and implement scalable AI architectures capable of handling the computational demands of 2026 and beyond.
  • Pioneering Research: Lead the exploration of emerging technologies, including Neuromorphic Computing and Advanced LLMs, to integrate into our core products.
  • Model Optimization: Oversee the training and fine-tuning of proprietary models, ensuring high accuracy and low latency.
  • Team Leadership: Mentor a high-performing team of machine learning engineers and data scientists, fostering a culture of innovation.
  • Ethical AI Implementation: Establish and enforce guidelines for responsible AI development, ensuring transparency and fairness in algorithmic decision-making.
  • Strategic Vision: Collaborate with executive leadership to define the long-term AI roadmap and technical strategy.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 8+ years of experience in software engineering and 5+ years specifically in AI/ML architecture.
  • Technical Skills: Proficiency in Python, TensorFlow, PyTorch, and experience with distributed computing frameworks (e.g., Kubernetes, Apache Spark).
  • Innovation Mindset: Demonstrated ability to think critically about the future of technology and adapt to rapidly evolving paradigms.
  • Problem Solving: Strong analytical skills with a track record of solving complex, open-ended technical challenges.
  • Communication: Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning AI Architecture Kubernetes Distributed Systems Cloud Computing Python

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