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Senior AI Architect - Shaping the 2026 Vision

Nexus Future Labs
Austin
Estimated Salary
USD 180.000 – USD 260.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Join the Architects of Tomorrow

Nexus Future Labs is pioneering the technological landscape for the 2026 era. We are looking for a visionary Senior AI Architect to lead our next-generation research and development initiatives. If you are passionate about building scalable, ethical, and cutting-edge artificial intelligence systems that define the future, we want to meet you.

As a key member of our elite technical team, you will bridge the gap between theoretical AI models and real-world industrial applications, ensuring our solutions are ready for the challenges of the 2026 horizon.

Why Join Us?
- Work on projects that define the next decade of technology.
- Competitive equity package and top-tier benefits.
- Flexible remote-first culture with quarterly in-person innovation summits.

Responsibilities

  • Lead the Technical Vision: Define and execute the technical roadmap for AI infrastructure to support our 2026 product strategy.
  • Architect Scalable Systems: Design and deploy robust machine learning pipelines and cloud-native architectures using AWS and Kubernetes.
  • Research & Development: Spearhead research into emerging AI paradigms, including generative models and reinforcement learning.
  • Model Optimization: Oversee the deployment, fine-tuning, and optimization of large language models (LLMs) for production environments.
  • Mentorship: Cultivate a high-performance engineering culture by mentoring junior developers and conducting technical code reviews.
  • Stakeholder Collaboration: Translate complex technical concepts into actionable insights for product and executive leadership.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Experience: 7+ years of professional software engineering experience, with at least 4 years focused on Machine Learning/AI.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and experience with vector databases (Pinecone, Milvus).
  • Cloud Expertise: Deep understanding of cloud infrastructure (AWS/GCP) and containerization technologies.
  • Problem Solving: Demonstrated ability to solve complex, ambiguous problems with elegant, scalable solutions.
  • Communication: Exceptional written and verbal communication skills, capable of presenting to diverse audiences.

Required Skills

Python Machine Learning AI Architecture AWS Kubernetes PyTorch TensorFlow Generative AI System Design

Ready to Take This Challenge?

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

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