AI/MLOps Architect (Replacement)

Title: Azure AI/MLOps Architect Location: San Antonio, Texas (4 days a week in office, Fridays Remote) Start Date: 4/7/26 Duration: 8 Months with good chance of extension Expenses: None – Must be local to the San Antonio, TX area Description: Experienced AI/MLOps Architect to join our Solution and Data Architecture team supporting the Data Science/AI Team. This position will be pivotal in architecting robust AI/MLOps/LLMOps solutions on the Azure AI/ML platform and will collaborate with cross-functional teams to streamline the AI/ML Azure Stack at MPC, ensuring our AI/ML initiatives are delivered with high quality and speed. Additionally, this role will include collaborating with the team of MLOps Architects and Engineers supporting the MPC Data Science & AI Team. Key Responsibilities • Architect Robust Azure AI/MLOps/LLMOps Solutions: To support the MPC Data Science and AI Team to deliver high quality Data Science solutions to our business continuously. • Azure AI/ML Platform Orchestration: Provide thought leadership on all aspects of the Azure ML Platforms that host the ML models and deliver value to our clients within and outside of MPC. • Azure OpenAI Expertise: Have working knowledge of Azure OpenAI based AI/ML solutions to provide quick value to business. • Kubernetes Expertise: Provide thought leadership in the architecture and maintenance of the Azure AKS Clusters for the team to support AI/ML Initiatives. • Production Support: Be able to provide 24X7 production support for MPC Azure ML models in case of issues/troubleshooting. • Promote DevSecOps Principles: Foster a DevSecOps culture across the Analytics & Innovation organization, ensuring security is integrated into the development process. • Collaboration: Work closely with data scientists, data engineers, and software developers to integrate and deploy machine learning models into production. • Security and Compliance: Ensure the security and compliance of data and infrastructure, adhering to industry best practices and regulatory requirements. • Documentation: Maintain comprehensive documentation of systems, processes, and workflows to facilitate knowledge sharing and collaboration. • Lifelong Learner: Exhibit an attitude of lifelong learning to keep up with the constant demands of keeping up instead of catching up in the field of AI/ML. Requirements: • Education: Bachelor’s Degree in Computer Science, Engineering, or a related field. • Experience: 5-7 years of experience in DevOps, MLOps, or a related field. • Extensive Azure DevOps and AzureML experience. • Experience working on Linux based platforms for AI/ML Data Science solutions. • Experience working with Data Science and Machine Learning teams. • Microsoft Certified - Azure Data Scientist Associate OR AWS Certified Machine Learning – Specialty OR Google Certified Professional Machine Learning Engineer Technical Expertise: • Expert level proficiency in the Azure Cloud Platform and containerization technologies (Docker, Kubernetes). • Expert programming skills in Python, Bash, PowerShell, or other modern programming/scripting languages. • Experience with infrastructure as code (Terraform, ARM or other IaC tools). Tool/Platform Proficiency: • Familiarity with CI/CD tools (Jenkins, GitHub Actions, ADO Pipelines). • Knowledge of Azure Architecture with a focus on AI/ML Platforms. • Problem-Solving: Excellent problem-solving and analytical skills, with a focus on delivering practical and efficient solutions. Preferred (NOT REQUIRED) Experiences: • Agile Methodologies: Experience working in Agile development environments. • Multiple Azure Certifications in the field of Data, AI, ML or DevOps. • Terraform Certification. • CKA Certification. Method360 is proud to be an Equal Opportunity Employer