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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Roadmap

Nebula Nexus
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juni 2026
Deadline
4 Jun 2027

Job Description

We are seeking a visionary Senior AI Architect to lead our 2026 technology roadmap. At Nebula Nexus, we are not just building software; we are architecting the future of human-machine interaction. You will be at the forefront of developing scalable, ethically-aligned artificial intelligence systems designed for the next generation of digital infrastructure. If you are passionate about pushing the boundaries of Generative AI, MLOps, and Quantum-ready algorithms, this is your opportunity to define the standard.

Why Join Us?

  • Work on 2026-ready infrastructure.
  • Competitive equity package and top-tier benefits.
  • Flexible remote-first culture with a hub in San Francisco.

Responsibilities

  • Architect 2026 AI Roadmap: Lead the design and implementation of cutting-edge machine learning systems aligned with the 2026 technological horizon, including advanced LLM integration and agentic workflows.
  • Scalable Infrastructure: Build robust, fault-tolerant MLOps pipelines capable of handling petabyte-scale data processing and high-frequency model training.
  • Research & Innovation: Spearhead research into emerging AI paradigms, ensuring Nebula Nexus remains at the forefront of innovation.
  • Model Optimization: Optimize models for quantum computing environments and edge devices, ensuring performance and efficiency.
  • Ethical AI Leadership: Establish and enforce guidelines for responsible AI, ensuring fairness, transparency, and bias mitigation in all deployed models.
  • Team Mentorship: Guide a team of junior engineers and data scientists, fostering a culture of continuous learning and technical excellence.

Qualifications

  • Education: Master’s degree in Computer Science, Artificial Intelligence, or a related field (PhD preferred).
  • Experience: 7+ years of experience in software engineering with a strong focus on AI/ML architecture.
  • Technical Skills: Deep proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, AWS SageMaker, GCP AI Platform).
  • AI Specialization: Proven track record of developing and deploying large-scale Generative AI models or LLMs.
  • Problem Solving: Exceptional ability to solve complex, unstructured problems and design systems for future scalability.
  • Communication: Excellent verbal and written communication skills, capable of translating complex technical concepts for diverse stakeholders.

Required Skills

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

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