AI Solution Architect – Generative AI & Large Language Models
18 hours ago
Iselin
]Job Title: AI Solution Architect – Generative AI & Large Language Models Job Location: Montvale, NJ & Iselin, NJ (Hybrid) Job Type – Contract Visa: Not for H1B Job Description Overview We are seeking an AI Architect specializing in Generative AI and Large Language Models (LLMs) to help design, deploy, and scale AI solutions for enterprise clients. This role requires deep expertise in machine learning and data science, particularly in the design, evaluation, and operationalization of modern language models and generative AI systems. The AI Architect will work closely with engineering teams and client stakeholders to translate cutting-edge AI capabilities into reliable production systems, while ensuring governance, transparency, and responsible AI practices. The ideal candidate combines technical depth, research awareness, and strong communication skills, enabling them to represent our company confidently in front of senior client stakeholders. Key Responsibilities AI Architecture & Solution Design • 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., • Evaluate and select appropriate models, frameworks, and infrastructure for production AI systems., • Provide deep technical expertise in:, • Large Language Models (LLMs), • Transformer architectures, • Generative AI techniques, • Model evaluation and benchmarking, • Design approaches for fine-tuning, prompt engineering, and model adaptation., • Lead deployment of machine learning and GenAI systems into production environments., • Architect and implement MLOps pipelines, model monitoring, and continuous improvement processes., • Implement frameworks for:, • AI governance, • Model explainability, • Transparency, • Risk management, • Ensure compliance with enterprise AI governance standards and regulatory expectations., • Act as a trusted technical advisor to client stakeholders., • Clearly communicate complex AI concepts to executives, architects, and engineering teams., • Represent the company with credibility in technical and strategic discussions around AI adoption., • Stay current with emerging developments in:, • Generative AI, • Large language models, • AI agents and agentic architectures, • AI infrastructure and tooling, • Evaluate new research and technologies to determine their practical applicability in enterprise environments., • 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 working with AI frameworks and ecosystems used for building GenAI applications., • Experience implementing AI governance, explainability, and responsible AI practices., • 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. Technical Skills • Machine Learning & Data Science, • Large Language Models (LLMs), • Generative AI systems, • AI agents and agentic architectures, • MLOps and model lifecycle management, • Strong analytical and problem-solving capabilities, • Excellent communication and presentation skills, • Ability to simplify complex AI concepts for diverse audiences, • Collaborative mindset and ability to work effectively within teams, • Full-time in-office role with collaboration across engineering and client teams., • Weekly client visits for workshops, architecture discussions, and solution design sessions., • Successfully architect and deliver production-grade AI systems., • Become a trusted AI advisor to both internal teams and client stakeholders., • Ensure responsible and governed adoption of AI technologies., • Help organizations translate GenAI innovation into real operational value. -Thanks & regards Akram Khan