Senior Machine Learning Solutions Architect

Empower • Overland Park, KS

1d • $138,000 - $200,100 • Hybrid

About The Position

As a Senior Machine Learning Solution Architect, you will shape how machine learning and advanced analytics are designed, delivered, and scaled across the organization. You will own the architectural patterns that move data from fragmented sources into production grade machine learning, analytics, and AI use cases that directly power business outcomes. This role sits at the intersection of data, machine learning, and application architecture, defining how data is structured, moved, and activated to enable personalization, marketing, reporting, and real time decisioning. This includes enabling feature engineering, model training pipelines, experimentation workflows, and model evaluation frameworks at scale. You will partner with data scientists, engineers, and product teams to turn modeling efforts into scalable production systems, focusing on solving real constraints and enabling consistent, reusable capabilities across the enterprise.

Requirements

• Bachelor’s degree in Data Science, Statistics, Computer Science, or a closely related quantitative field
• 8 plus years of experience in data, platform, or software engineering roles with exposure to machine learning or advanced analytics
• Experience designing and delivering production grade machine learning or advanced analytics solutions
• Strong background in data architecture and data movement across distributed systems
• Deep understanding of machine learning workflows including feature engineering, model training, experimentation, evaluation, and production deployment
• Experience with modern data and machine learning platforms such as AWS, Snowflake, Databricks, or similar

Nice To Haves

• Experience designing systems that directly enable personalization, marketing activation, or customer level decisioning
• Experience building or scaling MLOps capabilities beyond experimentation into production use
• Experience working with real time or event driven data and machine learning use cases
• Experience working closely with data scientists to productionize models and scale experimentation into repeatable systems
• Proven ability to connect machine learning with broader analytics and business workflows
• Relevant certifications such as AWS Certified Solutions Architect, AWS Machine Learning Specialty, Snowflake SnowPro Advanced Data Engineer or Data Scientist, Databricks Machine Learning Professional, or Google Professional Machine Learning Engineer

Responsibilities

• Architect end to end machine learning solutions from data ingestion through production consumption across multiple business use cases
• Design and standardize how data flows across systems to support machine learning, analytics, personalization, and real time decisioning
• Define the architectural patterns that support feature engineering, model training workflows, experimentation, and model evaluation at scale
• Define MLOps patterns that enable consistent deployment, monitoring, and lifecycle management of models at scale
• Build reusable capabilities such as feature pipelines, model serving frameworks, and data access patterns
• Define how machine learning and analytical outputs are exposed through APIs, batch processes, and real time services
• Partner with data scientists and engineers to remove friction between experimentation and production while driving key architectural decisions

Benefits

• Medical, dental, vision and life insurance
• Retirement savings – 401(k) plan with generous company matching contributions (up to 6%), financial advisory services, potential company discretionary contribution, and a broad investment lineup
• Tuition reimbursement up to $5,250/year
• Business-casual environment that includes the option to wear jeans
• Generous paid time off upon hire – including a paid time off program plus ten paid company holidays and three floating holidays each calendar year
• Paid volunteer time — 16 hours per calendar year
• Leave of absence programs – including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA)
• Business Resource Groups (BRGs) – BRGs facilitate inclusion and collaboration across our business internally and throughout the communities where we live, work and play. BRGs are open to all.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior