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Information Technology 🏢 Full Time ⭐️ Verified

Generative AI Architect (2026 Roadmap)

Nexus Horizon AI
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
11 Juli 2026
Deadline
11 Jul 2027

Job Description

We are seeking a visionary Generative AI Architect to lead our technical strategy into the next decade. In this pivotal role, you will define the roadmap for our next-generation models and infrastructure, ensuring we remain at the cutting edge of artificial intelligence. If you are passionate about building scalable systems and shaping the future of AI, we want to hear from you.

Why Join Us?

  • Work on state-of-the-art Large Language Models (LLMs) and multimodal systems.
  • Competitive salary and equity package.
  • Flexible remote-first culture with office hubs in San Francisco.

Responsibilities

  • Architect Scalable AI Systems: Design and implement robust, scalable infrastructure for large-scale generative models and ensure high availability.
  • Lead the 2026 Roadmap: Identify emerging trends in AI, quantum computing integration, and edge AI to drive long-term product innovation.
  • MLOps Optimization: Oversee the deployment, monitoring, and retraining pipelines for production-grade models.
  • Technical Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of technical excellence.
  • Ethical AI Governance: Implement safety guidelines and bias mitigation strategies for generative outputs.
  • Cross-Functional Collaboration: Partner with product managers and designers to translate complex AI capabilities into user-friendly features.

Qualifications

  • Education: PhD or Master's degree in Computer Science, Machine Learning, or a related quantitative field.
  • Experience: 5+ years of experience in software engineering, with at least 3 years specifically in AI/ML architecture.
  • Technical Skills: Deep expertise in Deep Learning frameworks (PyTorch, TensorFlow) and LLMs (GPT, BERT, Llama).
  • Programming: Proficiency in Python, C++, and distributed systems.
  • Problem Solving: Demonstrated ability to solve complex technical challenges in high-scale environments.
  • Communication: Excellent verbal and written communication skills, capable of explaining complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning NLP MLOps TensorFlow PyTorch AI Architecture LLMs Distributed Systems

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