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Senior AI Architect (2026 Vision) - Generative AI

NextGen Systems
San Francisco
Estimated Salary
USD 200.000 – USD 280.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

We are building the future of intelligent automation for 2026. NextGen Systems is seeking a visionary Senior AI Architect to lead our cutting-edge Generative AI division. In this role, you will define the architectural standards for next-generation Large Language Models (LLMs) and autonomous agents that will power the enterprise landscape of tomorrow. You will work at the intersection of research, engineering, and product strategy to build scalable, ethical, and high-performance AI systems. If you are passionate about the trajectory of AI and want to shape the technology stack for 2026, we want to hear from you.

Responsibilities

  • Architecting Future-Proof Systems: Design and implement robust, scalable architectures for Generative AI models, ensuring they are ready for the scale and complexity of 2026.
  • Model Optimization: Lead initiatives to optimize model inference speeds and reduce latency using advanced quantization and pruning techniques.
  • Research & Development: Conduct in-depth research on emerging AI paradigms, including Multimodal AI and Agentic workflows, and translate research into production-ready code.
  • Cross-Functional Leadership: Collaborate with product managers, designers, and engineers to define AI features that drive user engagement and business growth.
  • Ethical AI Implementation: Establish and enforce guidelines for AI safety, bias mitigation, and data privacy compliance in all model deployments.
  • Talent Mentorship: Mentor a team of junior data scientists and ML engineers, fostering a culture of continuous learning and innovation.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
  • Experience: 7+ years of experience in Machine Learning, with at least 3 years leading AI architecture projects.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and experience with cloud platforms (AWS, GCP, or Azure).
  • Generative AI Expertise: Deep understanding of NLP, Transformers, LLM fine-tuning (PEFT/LoRA), and RAG architectures.
  • System Design: Strong skills in distributed systems design and high-availability system architecture.
  • Soft Skills: Exceptional problem-solving abilities, strong communication skills, and a passion for the future of technology.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning NLP LLMs Cloud Computing System Design Kubernetes AWS GCP

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