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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect: Generative AI (2026 Focus)

Nebula Dynamics
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

We are at the forefront of the Artificial Intelligence revolution, and we are looking for a visionary Senior AI Architect to help define the technology landscape for the year 2026 and beyond. At Nebula Dynamics, we are building the next generation of Generative AI systems that are not only powerful but also safe, scalable, and accessible.

In this pivotal role, you will lead the architectural design of our core LLM infrastructure, drive the adoption of Agentic AI workflows, and ensure our systems remain future-proof against the rapid evolution of machine learning paradigms. If you are passionate about pushing the boundaries of what's possible in AI and want to shape the future of technology, we want to meet you.

Responsibilities

  • Architect Future-Proof Systems: Design and implement scalable infrastructure for large language models (LLMs) and multimodal AI systems, focusing on 2026-era scalability and efficiency.
  • Lead Research & Development: Spearhead the integration of cutting-edge techniques such as Reinforcement Learning from Human Feedback (RLHF) and Chain-of-Thought reasoning.
  • Optimize Inference Pipelines: Engineer high-performance inference engines to reduce latency and cost while maximizing output quality for enterprise applications.
  • Define Technical Strategy: Collaborate with C-suite executives to define the long-term AI roadmap, ensuring alignment with business goals and industry standards.
  • Mentor & Build Teams: Recruit, train, and lead a high-performing team of AI engineers and data scientists.
  • Ensure Safety & Compliance: Implement robust guardrails and ethical AI practices to prevent hallucinations and ensure responsible deployment.

Qualifications

  • Education: Master’s or PhD in Computer Science, Mathematics, or a related technical field (PhD preferred).
  • Experience: 7+ years of experience in software engineering, with at least 4 years specifically focused on Machine Learning and Deep Learning architectures.
  • Technical Expertise: Proficiency in Python, PyTorch, TensorFlow, or JAX. Deep understanding of transformer architectures (BERT, GPT, Llama).
  • System Design: Strong experience with distributed systems, cloud architecture (AWS/Azure/GCP), and MLOps pipelines.
  • Forward-Thinking Mindset: A demonstrated track record of working on emerging technologies and a passion for the future of AI (2026 vision).
  • Communication: Exceptional ability to translate complex technical concepts into clear business strategies for non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Large Language Models (LLMs) Machine Learning Engineering System Architecture MLOps Cloud Computing (AWS/Azure) Deep Learning AI Ethics

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