Ai Architect (Generative AI & Large Language Models)

TL;DR

Ai Architect (Generative AI & Large Language Models): Designing, deploying, and scaling AI solutions for enterprise clients with an accent on modern language models and generative AI systems. Focus on translating cutting-edge AI capabilities into reliable production systems, ensuring governance, transparency, and responsible AI practices.

Location: Full-time in-office role in Edison, NJ with weekly client visits.

Company

hirify.global is a global business and technology services firm delivering business transformation and product development.

What you will do

• Design and architect enterprise-grade AI solutions leveraging Generative AI and Large Language Models.
• Define architecture for LLM-based systems, agentic workflows, retrieval-augmented generation (RAG), and AI copilots.
• Lead deployment of machine learning and GenAI systems into production environments.
• Implement frameworks for AI governance, model explainability, transparency, and risk management.
• Act as a trusted technical advisor to client stakeholders, communicating complex AI concepts.
• Evaluate new research and technologies to determine their practical applicability in enterprise environments.

Requirements

• Master’s degree in Data Science, Machine Learning, Computer Science, or related field.
• Strong expertise in machine learning fundamentals and modern generative AI technologies.
• Proven experience designing and deploying AI/ML systems in production environments.
• Deep knowledge of Large Language Models, Generative AI architectures, ML pipelines, and model lifecycle management.
• Experience implementing AI governance, explainability, and responsible AI practices.
• Strong understanding of enterprise software architecture and distributed systems.

Nice to have

• Experience with agentic AI systems and orchestration frameworks.
• Experience building RAG-based AI systems.
• Familiarity with AI platform engineering and scalable AI infrastructure.
• Contributions to AI research, open-source projects, or technical publications.
• Experience working with enterprise clients in regulated industries.

Culture & Benefits

• Full-time in-office role with collaboration across engineering and client teams.
• Weekly client visits for workshops, architecture discussions, and solution design sessions.
• High collaboration with data scientists, engineers, architects, and business stakeholders.
• Ensure responsible and governed adoption of AI technologies.
• Help organizations translate GenAI innovation into real operational value.