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Lead AI Architect: Generative Intelligence (2026 Roadmap)

Horizon Core Technologies
Seattle
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
22 Mei 2026
Deadline
22 Mei 2027

Job Description

Are you ready to architect the future of intelligence? Horizon Core Technologies is seeking a visionary Lead AI Architect to spearhead our initiatives in Generative Intelligence and autonomous agent systems. As we prepare for the AI paradigm shift of 2026, we need a technical leader who can bridge the gap between cutting-edge research and scalable production deployment.

Join our elite team and define the standards for the next generation of AI applications. You will work on multimodal reasoning, large-scale LLM orchestration, and ethical AI frameworks that will power the digital economy for years to come.

Responsibilities

  • Lead the architectural design and implementation of next-generation Generative AI models and agents.
  • Research and prototype novel algorithms focused on long-term memory and context retention.
  • Collaborate with cross-functional teams to integrate AI capabilities into enterprise-grade software.
  • Establish best practices for model evaluation, safety, and alignment in dynamic environments.
  • Mentor junior engineers and researchers to foster a culture of innovation.
  • Stay ahead of industry trends to ensure our technology stack remains relevant for the 2026 era.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
  • 7+ years of experience in Machine Learning, Deep Learning, or AI Engineering.
  • Expert proficiency in Python, PyTorch, or TensorFlow.
  • Proven track record of deploying large-scale LLMs or multimodal models in production.
  • Strong understanding of prompt engineering, fine-tuning, and RAG (Retrieval-Augmented Generation).
  • Excellent communication skills and the ability to translate complex technical concepts for stakeholders.

Required Skills

Python PyTorch TensorFlow Generative AI LLMs Machine Learning Deep Learning NLP RAG Prompt Engineering MLOps

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