Job Description Insight Global is looking for an AI/ML Operations Architect to sit onsite in San Antonio, TX. The candidate will collaborate with a team of MLOps Architects and Engineers to support the Data Science & AI Team. In this role, the candidate will be designing and overseeing the implementation of Artificial Intelligence (AI), Machine Learning Operations (MLOps), and Lifecycle of Large Language Model Operations (LLMOps) solutions within the Azure AI/ML platform. They will work with cross-functional teams to optimize the AI/ML Azure stack at the client, ensuring efficient and high-quality delivery of AI/ML initiatives. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com .     To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ . Skills and Requirements Bachelor's degree in Computer Science, Engineering, or a related field 4+ years of Azure DevOps, AWS DevOps, Azure ML, or Linux-based platform engineering experience 3+ additional years of experience designing and overseeing Machine Learning operations (MLOps) as an architect Proficient in Azure Cloud Platform or AWS Cloud Platform Docker and Kubernetes containerization experience Expert programming skills in Python, Bash, PowerShell Experience with hands-on deployment of infrastructure as code (Terraform, ARM) Experience working with Data Science and Machine Learning teams Advanced Analytics Tools Experience in Agile methodologies Strong communication skills for technical and non-technical stakeholders Collaborative mindset for diverse team environments Multiple Azure Certifications in Data, AI, ML, or DevOps, Terraform Certification, CKA Certification Microsoft Certified: Azure Data Scientist Associate, AWS Certified Machine Learning -- Specialty, or Google Certified Professional Machine Learning Engineer null We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to HR@insightglobal.com.