AI/MLOps Architect (Replacement) Job at Method360 in San Antonio

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.

Azure AI/ML platform orchestration – provide thought leadership on all aspects of the Azure ML platforms.

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 Azure AKS clusters.

Production support – provide 24×7 support for MPC Azure ML models in case of issues/troubleshooting.

Promote DevSecOps principles – foster a DevSecOps culture across the Analytics & Innovation organization.

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.

Documentation – maintain comprehensive documentation of systems, processes, and workflows.

Lifelong learner – exhibit an attitude of lifelong learning to keep up with the demands 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 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

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In Summary: The position will be pivotal in architecting robust AI/MLOps/LLMOps solutions on the . Azure . platform . Will collaborate with cross‑functional teams to streamline the AI/ml . Stack at MPC . Must be local to the San Antonio, Texas area and have 5-7 years of experience .

En Español:

Título: Arquitecto de Azure AI/MLOps Ubicación: San Antonio, Texas (4 días a la semana en oficina, viernes remotos) Fecha de inicio: 4/7/26 Duración: 8 meses con buenas posibilidades de extensión Gastos: Ninguno Debe ser local en el área de San Antonio , TX Descripción Experiente arquitecto de AI / MLOps para unirse a nuestro equipo de solución y arquitectura de datos que apoya al Equipo de Ciencia de Datos / IA. Esta posición será fundamental para diseñar soluciones robustas de AI/ML-MOps en la plataforma Azure AI / ML y colaborará con equipos interfuncionales para agilizar la pila de Azure de IA/ML en MPC, asegurando que nuestras iniciativas de IA / ML se entreguen con alta calidad y velocidad. Además, este papel incluirá la colaboración con el equipo de arquitectos y ingenieros MLOps basados en AI/ML para proporcionar un valor rápido a las empresas. Kubernetes Responsibilities Tool Architect ofrece soluciones robustas de Azure AI/MLOps/LLMOps para apoyar al Equipo de Ciencias de Datos MPC y IA. La orquestación de plataformas Azure AI / ML proporciona liderazgo del pensamiento sobre todos los aspectos de las plataformas de aprendizaje de Azure.