Vizient, Inc.
When you're the best, we're the best. We foster an environment where employees feel engaged, satisfied, and able to contribute their unique skills while living authentically. We offer extensive opportunities for personal and professional development to build both employee competence and organizational capability, supporting exceptional performance through an inclusive environment now and in the future.
Summary : In this role, you will serve as an AI / ML Architect, leading the architectural vision, design, and enablement of our AI and ML platforms. You will play a central role in designing scalable, secure, and high-performance machine learning infrastructure that supports the full lifecycle of AI applications across our organization. The ideal candidate will have deep hands-on experience in enterprise ML architecture, strong knowledge of Databricks and Spark, and the ability to translate complex AI requirements into robust, governed platforms. You will work closely with engineering, data science, cloud infrastructure, and compliance teams to define and implement the blueprint for AI success.
Responsibilities :
Design, document, and own end-to-end AI / ML system architectures—from data ingestion and feature pipelines to model deployment, monitoring, and governance.
Define patterns and reference architectures for scalable ML workflows, including real-time and batch inference, feature stores, model registries, and CI / CD for ML.
Establish technical standards and reusable frameworks that promote modularity, compliance, and high availability.
Architect and optimize cloud-based ML platforms leveraging Databricks, Delta Lake, and MLflow for large-scale experimentation, training, and model management.
Guide the implementation of feature engineering pipelines using PySpark and SQL within Databricks.
Enable shared environments for collaborative data science, model experimentation, and reproducible ML workflows.
Partner with Security and Compliance teams to ensure architectures meet HIPAA, SOC 2, and internal risk and governance requirements.
Implement best practices for data lineage, model versioning, and access control within ML pipelines.
Ensure auditability, traceability, and observability are embedded in architectural patterns.
Serve as a trusted advisor to senior engineering and data science leaders, translating AI use cases into scalable architectural strategies.
Guide integration of AI components with enterprise data lakes, BI tools, APIs, and decision systems.
Influence build vs. buy decisions for AI tools, frameworks, and cloud-native services.
Qualifications :
Relevant degree preferred.
7 or more years of relevant experience.
3 or more years of experience designing and supporting Databricks environments for ML workloads, including Lakehouse and MLflow components.
Strong proficiency with distributed computing frameworks (e.g., Spark, Ray, Dask) and cloud-native data services (Azure Data Lake, AWS S3, etc.).
Deep understanding of model lifecycle management, reproducibility, and automation in production-grade ML systems.
Strong coding skills in Python and SQL; familiarity with Terraform, YAML, and CI / CD for infrastructure.
Excellent communication and system documentation skills.
Experience in regulated industries (healthcare, finance, government) preferred.
Familiarity with identity management, RBAC, secrets management, and secure data movement in cloud environments preferred.
Knowledge of modern MLOps tooling (KubeFlow, Argo Workflows, Airflow, BentoML, etc.) preferred.
Exposure to real-time ML use cases (streaming inference, edge AI, embedded AI systems).
LI-JB1
Estimated Hiring Range : At Vizient, we consider skills, experience, and organizational needs in our compensation approach. The current salary range for this role is $135,200.00 to $236,600.00. This position is incentive eligible.
Vizient offers a comprehensive benefits plan! Please view our benefits here :
http://www.vizientinc.com/about-us/careers
We are an Equal Opportunity Employer: Females / Minorities / Veterans / Individuals with Disabilities. We are committed to providing equal employment opportunities to all employees and applicants regardless of race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status, or any other legally protected category.
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Summary : In this role, you will serve as an AI / ML Architect, leading the architectural vision, design, and enablement of our AI and ML platforms. You will play a central role in designing scalable, secure, and high-performance machine learning infrastructure that supports the full lifecycle of AI applications across our organization. The ideal candidate will have deep hands-on experience in enterprise ML architecture, strong knowledge of Databricks and Spark, and the ability to translate complex AI requirements into robust, governed platforms. You will work closely with engineering, data science, cloud infrastructure, and compliance teams to define and implement the blueprint for AI success.
Responsibilities :
Design, document, and own end-to-end AI / ML system architectures—from data ingestion and feature pipelines to model deployment, monitoring, and governance.
Define patterns and reference architectures for scalable ML workflows, including real-time and batch inference, feature stores, model registries, and CI / CD for ML.
Establish technical standards and reusable frameworks that promote modularity, compliance, and high availability.
Architect and optimize cloud-based ML platforms leveraging Databricks, Delta Lake, and MLflow for large-scale experimentation, training, and model management.
Guide the implementation of feature engineering pipelines using PySpark and SQL within Databricks.
Enable shared environments for collaborative data science, model experimentation, and reproducible ML workflows.
Partner with Security and Compliance teams to ensure architectures meet HIPAA, SOC 2, and internal risk and governance requirements.
Implement best practices for data lineage, model versioning, and access control within ML pipelines.
Ensure auditability, traceability, and observability are embedded in architectural patterns.
Serve as a trusted advisor to senior engineering and data science leaders, translating AI use cases into scalable architectural strategies.
Guide integration of AI components with enterprise data lakes, BI tools, APIs, and decision systems.
Influence build vs. buy decisions for AI tools, frameworks, and cloud-native services.
Qualifications :
Relevant degree preferred.
7 or more years of relevant experience.
3 or more years of experience designing and supporting Databricks environments for ML workloads, including Lakehouse and MLflow components.
Strong proficiency with distributed computing frameworks (e.g., Spark, Ray, Dask) and cloud-native data services (Azure Data Lake, AWS S3, etc.).
Deep understanding of model lifecycle management, reproducibility, and automation in production-grade ML systems.
Strong coding skills in Python and SQL; familiarity with Terraform, YAML, and CI / CD for infrastructure.
Excellent communication and system documentation skills.
Experience in regulated industries (healthcare, finance, government) preferred.
Familiarity with identity management, RBAC, secrets management, and secure data movement in cloud environments preferred.
Knowledge of modern MLOps tooling (KubeFlow, Argo Workflows, Airflow, BentoML, etc.) preferred.
Exposure to real-time ML use cases (streaming inference, edge AI, embedded AI systems).
LI-JB1
Estimated Hiring Range : At Vizient, we consider skills, experience, and organizational needs in our compensation approach. The current salary range for this role is $135,200.00 to $236,600.00. This position is incentive eligible.
Vizient offers a comprehensive benefits plan! Please view our benefits here :
http://www.vizientinc.com/about-us/careers
We are an Equal Opportunity Employer: Females / Minorities / Veterans / Individuals with Disabilities. We are committed to providing equal employment opportunities to all employees and applicants regardless of race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status, or any other legally protected category.
#J-18808-Ljbffr