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Senior AI Architect: Generative Vision (2026 Roadmap)

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 190.000 – USD 260.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are seeking a visionary Senior AI Architect to lead our research into the Generative AI landscape of 2026. At Nexus Horizon Systems, we aren't just building software; we are architecting the future of human-machine interaction. As we look toward the next horizon of technology, we need a leader who can bridge the gap between theoretical breakthroughs and scalable, production-grade systems.

In this role, you will define the architectural blueprint for our next-generation LLMs and autonomous agents. You will work in a high-performance environment that rewards innovation, technical excellence, and strategic foresight.

Why Join Us?

  • Future-Forward Technology: Directly influence the roadmap for 2026 and beyond.
  • Top-Tier Talent: Collaborate with PhDs and industry veterans in AI/ML.
  • Competitive Compensation: Salary, equity, and comprehensive benefits.

Responsibilities

  • Architect and deploy scalable Generative AI models (LLMs, diffusion models) optimized for production environments.
  • Define the technical strategy for the '2026 AI Vision', integrating multi-modal capabilities into existing pipelines.
  • Lead the research and implementation of Retrieval-Augmented Generation (RAG) architectures to enhance model accuracy.
  • Mentor junior engineers and data scientists, fostering a culture of continuous learning and innovation.
  • Ensure the ethical use of AI, implementing robust guardrails and safety protocols for large-scale deployments.
  • Optimize inference latency and reduce costs associated with large-scale model serving.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related technical field.
  • 7+ years of experience in Machine Learning, Deep Learning, or Natural Language Processing.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Deep understanding of Transformer architectures and Large Language Models.
  • Proven track record of shipping complex AI products to market.
  • Strong experience with cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Excellent communication skills with the ability to translate complex technical concepts for diverse stakeholders.

Required Skills

Generative AI Large Language Models LLM Python PyTorch TensorFlow Deep Learning NLP Machine Learning AWS GCP Docker Kubernetes

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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