AI Solution Architect-Generative AI & Large Language Models
Montvale, New Jersey, United States of America
Full Time
3 weeks ago
H1B Sponsor Likely
Key skills
AIMachine LearningMLGenerative AIGenAILLMLarge Language ModelsRAGAgenticMLOpsRisk Management
About this role
Orion Innovation is a premier, award-winning, global business and technology services firm. They are seeking an AI Architect specializing in Generative AI and Large Language Models to help design, deploy, and scale AI solutions for enterprise clients.
Responsibilities:
- 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
- Ensure scalability, reliability, and performance of deployed AI solutions
- 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
- Guide teams on best practices in ML pipelines, experimentation, and model lifecycle management
- Lead deployment of machine learning and GenAI systems into production environments
- Architect and implement MLOps pipelines, model monitoring, and continuous improvement processes
- Ensure AI systems are secure, scalable, and operationally maintainable
- Implement frameworks for: AI governance, Model explainability, Transparency, Risk management, Ensure compliance with enterprise AI governance standards and regulatory expectations
- Define policies for model validation, bias mitigation, and responsible deployment
- 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
- Work closely with client teams to translate business problems into AI-driven solutions
- 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
- Help shape the organization’s AI strategy and technical direction