AI Application Architect

Job Description : We are seeking a hands-on AIML DevOps Engineer to join our client s growing AI / ML engineering team in Scottsdale, AZ. The ideal candidate will have strong experience in cloud-based MLOps, automation, and DevOps practices, with the ability to deploy, monitor, and scale AI / ML models efficiently in production environments.

Key Responsibilities

• Design, build, and maintain ML pipelines for training, testing, and deploying AI / ML models.
• Manage and optimize cloud-based ML infrastructure using Google Cloud Platform Vertex AI, AWS SageMaker, or similar services.
• Develop and manage CI / CD pipelines for AI / ML applications ensuring automated deployment and version control.
• Implement observability and monitoring for model performance, system health, and resource utilization.
• Automate end-to-end workflows for data ingestion, model training, deployment, and monitoring.
• Work cross-functionally with data scientists, ML engineers, and software developers to ensure scalable and secure operations.
• Apply MLOps best practices for reproducibility, model governance, and continuous improvement.

Required Skills & Experience

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship / immigration status, veteran status, or any other status protected under federal, state, or local law.