Generative AI Intern

Hi, This is OpenKyber from OpenKyber. We have an opportunity with one of our direct clients, and I'd like to share the details with you. Please review the information below and let me know if you're interested. Kindly share your updated resume if you'd like to be considered.

Job Title: Generative AI Architect Location: Montvale, NJ (Hybrid onsite)

Job 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. This is a full-time, in-office role , with some days at client and direct engagement with enterprise teams.

Required Qualifications 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 . Strong understanding of enterprise software architecture and distributed systems .

Preferred Qualifications 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 .

Key Skills Technical Skills Machine Learning & Data Science Large Language Models (LLMs) Generative AI systems AI agents and agentic architectures MLOps and model lifecycle management AI governance and explainability Professional Skills 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 Client-facing professionalism and credibility Work Environment 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 .

What Success Looks Like in This Role 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 .

Educational Qualifications: Required - Bachelor's degree in Computer Science, Information Technology, Computer Engineering or closely related or equivalent. Preferred - Master's degree in Management Information Systems (MIS), Computer Science, Big Data or Analytics or equivalent.

Travel: Open to travel based-up on the nature of the engagement.

Thanks & Regards OpenKyber Resource Manager (w): (E): 2260 Haggerty Road, Suite 285 Northville, MI 48167

Equal Employment Opportunity OpenKyber employment does not discriminate on the basis of race, religion, gender, sexual orientation, age or any other basis as covered by federal, state, or local law. Employment decisions are based solely on qualifications, merit and business needs.

For applications and inquiries, contact: hirings@openkyber.com