AI Ops Engineer

Title: AI Ops Engineer Remote GENERAL PURPOSE OF THE JOB The AI Op Engineer is responsible for designing, developing, and deploying advanced artificial intelligence applications and agents to support Client initiatives. Utilizing the Agent Development Kit (ADK) and Python, this role builds scalable AI solutions hosted on the Google Cloud Platform (GCP). The engineer will collaborate closely with cross-functional technical teams and business stakeholders to turn data and AI concepts into reliable, production-ready software that enhances clinical and operational processes. ESSENTIAL DUTIES & RESPONSIBILITIES ESSENTIAL FUNCTION % OF TIME 1. Design, develop, and maintain robust AI agents and software applications utilizing Python and the Agent Development Kit (ADK) 40% 2. Deploy, monitor, and optimize AI agents and supporting infrastructure within Google Cloud Platform (GCP) environments 25% 3. Collaborate with data scientists, analysts, and business stakeholders to interpret requirements and integrate AI capabilities into existing platforms and workflows 15% 4. Develop and manage cloud infrastructure as code using Terraform to ensure reliable deployments 10% 5. Perform dev testing, troubleshooting, and continuous improvements of deployed AI software and processes 5% 6. Other duties as assigned 5% Total Allocation of Time 100% EDUCATION AND EXPERIENCE • Bachelor's Degree in Computer Science, Software Engineering, or a related technical field (or equivalent experience) • 2 to 4 years of software development experience SPECIALIZED EXPERIENCE, EDUCATION, TRAINING, OR QUALIFICATIONS • High proficiency in Python programming is required. • Demonstrable knowledge and experience with Agent Development Kit (ADK) development is required • Hands-on experience developing and deploying within Google Cloud Platform (GCP) is required • Experience with Terraform for Infrastructure as Code is preferred, but not required • Mobile development experience (iOS and/or Android) is preferred, but not required • Basic computer skills and proficiency in MS Word, Excel, and Outlook is required CERTIFICATIONS One or more of these certifications is preferred, but not required: • Google Associate Cloud Engineer • Google Cloud Developer • Google Professional Cloud Architect