Job Description
Are you ready to define the future of intelligent automation? Nexus Horizon is seeking a visionary Senior AI Strategist & GenAI Architect to lead our next-generation research initiatives. In 2026 and beyond, AI will be the central nervous system of enterprise; we need a leader who can navigate this complexity.
As a pivotal member of our Technology Council, you will bridge the gap between cutting-edge machine learning research and scalable business solutions. You will spearhead the deployment of Large Language Models (LLMs) and autonomous agents, ensuring our products remain at the bleeding edge of innovation.
Why Nexus Horizon? We are not just building software; we are architecting the cognitive layer of the digital economy. Join a team of world-class engineers and researchers committed to pushing the boundaries of what is possible with artificial intelligence.
Responsibilities
- Architect and oversee the roadmap for Generative AI products, ensuring alignment with 2026 technological standards.
- Lead cross-functional teams in developing proprietary AI models, including fine-tuning and prompt engineering strategies.
- Establish ethical AI frameworks and governance models to ensure responsible deployment of autonomous systems.
- Collaborate with C-level executives to translate technical capabilities into high-impact business strategies.
- Monitor industry trends (e.g., Multimodal AI, Neural Architecture Search) to integrate emerging technologies into our stack.
- Optimize inference costs and latency for real-time AI applications deployed globally.
Qualifications
- Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related quantitative field (or equivalent extensive experience).
- Proven track record of leading AI projects from concept to production, with at least 7 years of experience in the tech industry.
- Deep expertise in PyTorch, TensorFlow, or JAX, with hands-on experience in training large-scale transformer models.
- Strong understanding of LLM architecture (e.g., GPT, BERT, LLaMA) and RAG (Retrieval-Augmented Generation) pipelines.
- Demonstrated leadership in high-stakes environments, with the ability to mentor junior engineers and data scientists.
- Exceptional communication skills, capable of explaining complex technical concepts to non-technical stakeholders.