AWS Agentic AI Platform Engineer

What you'll do

• Train, test, deploy, and maintain machine learning models and agentic applications.
• Define and implement agentic workflow patterns and retrieval architectures for mission-critical solutions.
• Develop AI/ML applications using Python, including LLMs and retrieval-augmented generation systems.
• Integrate AI/ML capabilities with APIs, data stores, and cloud services.
• Deploy and support scalable applications within AWS cloud environments.
• Evaluate model quality based on relevance, latency, cost, and system performance.
• Translate operational needs into testable technical requirements for engineering teams.
• Implement MLOps practices including automated evaluation, versioning, and drift monitoring.

What we're looking for

• 2+ years of experience with AI/ML engineering, data science, software engineering, data engineering, or cloud engineering.
• Experience developing AI/ML applications using Python.
• Experience developing agentic AI, large language model applications, retrieval-augmented generation systems, or predictive machine learning models.
• Experience integrating AI/ML capabilities with APIs, data stores, cloud services, or enterprise applications.
• Experience developing, deploying, or supporting applications on AWS.
• Knowledge of AI/ML evaluation methods and software engineering/DevSecOps practices including version control, CI/CD, and containerization.
• Ability to obtain a Secret clearance.
• Bachelor’s degree.