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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI Architect: 2026 Roadmap

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
5 Juli 2026
Deadline
5 Jul 2027

Job Description

Are you ready to architect the future of intelligent systems? Nexus Future Labs is seeking a visionary Senior AI Architect to lead our strategic 2026 roadmap. In this high-impact role, you will define the technical direction for our next-generation generative AI platforms, collaborating with world-class researchers and engineers to build scalable, safe, and transformative AI solutions.

As we prepare to launch our flagship 2026 suite of products, we need a leader who can bridge the gap between theoretical research and production-grade engineering. You will be instrumental in selecting cutting-edge technologies, establishing architectural standards, and mentoring a growing team of machine learning experts.

Responsibilities

  • Define and execute the technical roadmap for AI capabilities slated for the 2026 release cycle.
  • Design scalable, distributed machine learning infrastructure capable of handling petabyte-scale datasets.
  • Lead the architecture for multi-modal AI models, integrating text, vision, and audio processing.
  • Establish best practices for model deployment, MLOps, and ethical AI governance.
  • Collaborate with product managers to translate complex technical concepts into user-centric features.
  • Conduct deep-dive technical reviews and mentor junior engineers to foster a culture of innovation.

Qualifications

  • Ph.D. or Master's degree in Computer Science, Machine Learning, or a related quantitative field.
  • 7+ years of experience in designing and deploying large-scale machine learning systems.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Ray).
  • Proven track record of leading cross-functional teams through the full software development lifecycle.
  • Experience with LLMs, RAG architectures, or Reinforcement Learning from Human Feedback (RLHF).
  • Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and serverless architectures.

Required Skills

Python PyTorch Machine Learning Deep Learning MLOps Kubernetes AWS Generative AI NLP System Design Leadership

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