Job Description
Are you ready to define the future of intelligence in 2026?
NexusHorizon AI is seeking a visionary Senior Generative AI Architect to lead our next-generation AI initiatives. We are building the infrastructure that will power autonomous agents and deep reasoning systems by the year 2026. If you are passionate about Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and the ethical application of AI, we want to meet you.
In this role, you will not just write code; you will architect the neural pathways that define how machines understand and generate human-like thought. Join a team that is redefining the boundaries of possibility.
Responsibilities
- Architect Next-Gen LLM Systems: Design scalable, high-performance generative AI architectures tailored for 2026 standards, focusing on reasoning and agentic workflows.
- Pipeline Optimization: Develop and optimize Retrieval-Augmented Generation (RAG) pipelines to ensure low-latency, high-fidelity output.
- Model Fine-Tuning: Lead the fine-tuning and alignment of open-source and proprietary models (e.g., Llama, GPT-4 variants) for specific enterprise use cases.
- R&D Leadership: Explore emerging paradigms in multimodal AI and diffusion models to integrate into our core product suite.
- Guardrail Implementation: Implement robust safety, security, and bias mitigation protocols to ensure responsible AI deployment.
- Technical Mentorship: Guide a team of ML engineers and researchers, fostering a culture of innovation and technical excellence.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field (or equivalent industry experience).
- Experience: 5+ years of professional experience in Natural Language Processing (NLP) and Machine Learning.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and experience with Hugging Face Transformers.
- LLM Expertise: Deep understanding of LLM mechanics, prompt engineering, and the LangChain ecosystem.
- Infrastructure: Experience deploying models on cloud platforms (AWS/GCP/Azure) with GPU clusters.
- Creative Thinking: Ability to think beyond current limitations and conceptualize AI solutions for future market needs.