Role overview
One of our client is seeking a highly skilled AI/ML Engineer to design and deploy advanced machine learning systems powering mission-critical initiatives. In this role, you will work with large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration frameworks to build secure, scalable, production-grade AI solutions. You will collaborate closely with cross-functional teams to deliver high-impact systems in regulated and secure cloud environments.
What you'll work on
Design, implement, and optimize AI/ML models leveraging LLMs, RAG pipelines, and advanced prompt engineering techniques.
Develop and orchestrate multi-agent systems using modern agent frameworks.
Deploy AI solutions in secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
Build and maintain scalable data pipelines, ETL workflows, metadata catalogs, and ontologies to support training and inference.
Develop and maintain REST APIs and SDK integrations for seamless system interoperability.
Collaborate with product, engineering, and security teams to ensure secure, reliable deployments following DevOps and CI/CD best practices.
Document architectural decisions and clearly communicate complex technical concepts to diverse stakeholders.
What we're looking for
Experience working with enterprise-grade AI platforms in regulated environments.
Knowledge of metadata catalog systems and advanced API architecture.
Prior experience supporting government or highly regulated industry projects.