AWS Architect - Reading, PA

Position: AWS Architect with Python (3.11+) Location: Reading, PA or close enough to travel there on a regular basis. (Hybrid). Duration: Long term Required Qualifications Python (3.11+): Hands-on experience developing robust, scalable applications and implementing agentic logic using Python. Amazon SageMaker Unified Studio (SMUS) & MLOps: Hands-on experience with SMUS for managing the end-to-end machine learning lifecycle, including automated model training, model registration in centralize

Python (3.11+): Hands-on experience developing robust, scalable applications and implementing agentic logic using Python.Amazon SageMaker Unified Studio (SMUS) & MLOps: Hands-on experience with SMUS for managing the end-to-end machine learning lifecycle, including automated model training, model registration in centralized model registries, and configuration of real-time and asynchronous inference endpoints.Infrastructure as Code (IaC): Production-level expertise with Terraform for provisioning

Reading, PA | Onsite | In-Person Client InterviewJob Description: AI EngineerPosition SummaryWe are seeking a highly motivated AI Engineer to design, develop, and deploy next-generation AI and machine learning solutions across the enterprise. The ideal candidate will have hands-on experience building intelligent applications, agentic AI systems, and scalable machine learning pipelines utilizing AWS cloud services and modern AI frameworks. This role requires a strong foundation in software engine

AI Role Required Qualifications Education Bachelors degree in Computer Science, Data Science, Engineering, Information Technology, or related field. Master's degree preferred. Technical Skills Strong hands-on experience developing production-grade applications using Python 3.11+. Experience designing and implementing agentic AI systems and intelligent automation workflows. Hands-on experience with Amazon SageMaker for machine learning model development, training, deployment, and monitoring