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Lead Generative AI Architect - Shaping the Future (2026 Vision)

Nexus Horizon AI
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Be the Architect of the AI Revolution

Are you ready to define the landscape of Artificial Intelligence for 2026? Nexus Horizon AI is seeking a visionary Lead Generative AI Architect to spearhead the development of autonomous agents and multimodal Large Language Models (LLMs).

We are not just building software; we are engineering the future of human-computer interaction. In this role, you will lead a world-class team in deploying cutting-edge AI solutions that push the boundaries of what is possible.

Why Join Us?

  • Impact: Work on groundbreaking projects that will define the AI ecosystem of the coming decade.
  • Compensation: Competitive salary and equity package reflecting your expertise.
  • Environment: Collaborative, remote-first culture focused on innovation and technical excellence.

What You Will Do

Responsibilities

  • Architect and deploy scalable Generative AI pipelines using state-of-the-art LLMs (e.g., GPT-4, Claude, Llama 3).
  • Design and implement Retrieval-Augmented Generation (RAG) architectures to enhance model accuracy and reduce hallucinations.
  • Lead the fine-tuning and instruction-tuning of custom models for specific industry verticals.
  • Optimize model inference for high-throughput, low-latency production environments.
  • Mentor junior engineers and data scientists, fostering a culture of continuous learning.
  • Stay ahead of the curve on emerging AI trends, including Agentic workflows and Multimodal AI.

Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field.
  • 5+ years of experience in Machine Learning, Deep Learning, or Natural Language Processing.
  • Proven expertise in Python, PyTorch, TensorFlow, and Hugging Face Transformers.
  • Experience with vector databases (Pinecone, Milvus, Weaviate) and orchestration tools (LangChain, LlamaIndex).
  • Strong understanding of LLM evaluation metrics, prompt engineering, and adversarial attacks.
  • Excellent communication skills and the ability to translate complex technical concepts for diverse stakeholders.

Required Skills

Python PyTorch TensorFlow Hugging Face LLMs GPT RAG LangChain Machine Learning Deep Learning Natural Language Processing Vector Databases Prompt Engineering

Ready to Take This Challenge?

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

Apply Now

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