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Information Technology 🏒 Full Time ⭐️ Verified

Senior Generative AI Architect (2026 Vision)

Nexus Horizon Systems
New York
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to architect the future of intelligence?

Nexus Horizon Systems is pioneering the next generation of generative technologies. We are looking for a visionary Senior Generative AI Architect to lead our R&D efforts, ensuring our solutions are not just current, but ready for the technological landscape of 2026 and beyond.

In this role, you will bridge the gap between theoretical AI research and scalable production engineering. You will define the architectural standards for Large Language Models (LLMs) and multimodal systems that power our enterprise clients worldwide.

Why join Nexus Horizon?

  • Future-Proof Role: Work on cutting-edge algorithms that will define the industry standard for the next decade.
  • Impact: Your work will directly influence how businesses interact with AI globally.
  • Culture: A premium, remote-first culture focused on innovation, continuous learning, and high-performance collaboration.

Responsibilities

  • Design and implement scalable, high-performance LLM architectures tailored for complex enterprise use cases.
  • Lead the end-to-end lifecycle of model training, fine-tuning, and optimization (PEFT, LoRA, QLoRA).
  • Collaborate with data scientists and product engineers to integrate generative models into production pipelines.
  • Establish best practices for model evaluation, monitoring, and safety (RLHF, Red Teaming).
  • Research and prototype novel techniques in multimodal AI and agent-based systems.
  • Mentor junior engineers and foster a culture of technical excellence within the AI squad.

Qualifications

  • PhD or Master’s degree in Computer Science, Machine Learning, or a related technical field.
  • 7+ years of experience in software engineering, with at least 3 years specifically focused on Deep Learning and NLP.
  • Expert proficiency in Python, PyTorch, and TensorFlow.
  • Deep understanding of transformer architectures, attention mechanisms, and vector databases.
  • Experience deploying models via Kubernetes, Docker, and cloud-native infrastructure (AWS/GCP/Azure).
  • Proven track record of shipping production-ready AI products.

Required Skills

Python PyTorch TensorFlow Large Language Models (LLMs) NLP Transformer Architecture Fine-tuning Kubernetes AWS Machine Learning Deep Learning Generative AI

Ready to Take This Challenge?

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