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. What You Will Do 3 Architect end to end machine learning solutions from data ingestion through production consumption across multiple business use cases3 3 Design and standardize how data flows across systems to support machine learning, analytics, personalization, and real time decisioning3 3 Define the architectural patterns that support feature engineering, model training workflows, experimentation, and model evaluation at scale3 3 Define MLOps patterns that enable consistent deployment, monitoring, and lifecycle management of models at scale3 3 Build reusable capabilities such as feature pipelines, model serving frameworks, and data access patterns3 3 Define how machine learning and analytical outputs are exposed through APIs, batch processes, and real time services3 3 Partner with data scientists and engineers to remove friction between experimentation and production while driving key architectural decisions3 What You Will Bring 3 Bachelors degree in Data Science, Statistics, Computer Science, or a closely related quantitative field3 3 8 plus years of experience in data, platform, or software engineering roles with exposure to machine learning or advanced analytics3 3 Experience designing and delivering production grade machine learning or advanced analytics solutions3 3 Strong background in data architecture and data movement across distributed systems3 3 Deep understanding of machine learning workflows including feature engineering, model training, experimentation, evaluation, and production deployment3 3 Experience with modern data and machine learning platforms such as AWS, Snowflake, Databricks, or similar3 What You Will Set You Apart 3 Experience designing systems that directly enable personalization, marketing activation, or customer level decisioning3 3 Experience building or scaling MLOps capabilities beyond experimentation into production use3 3 Experience working with real time or event driven data and machine learning use cases3 3 Experience working closely with data scientists to productionize models and scale experimentation into repeatable systems3 3 Proven ability to connect machine learning with broader analytics and business workflows3 3 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 Engineer3 This job operates in a professional office environment. This job description is not intended to be an exhaustive list of all duties, responsibilities and qualifications of the job. The employer has the right to revise this job description at any time. You will be evaluated in part based on your performance of the responsibilities and/or tasks listed in this job description. You may be required to perform other duties that are not included on this job description. The job description is not a contract for employment, and either you or the employer may terminate employment at any time, for any reason, as per terms and conditions of your employment contract. What we offer you We offer an array of diverse and inclusive benefits regardless of where you are in your career. We believe that providing our employees with the means to lead healthy balanced lives results in the best possible work performance. 3 Medical, dental, vision and life insurance 3 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 3 Tuition reimbursement up to $5,250/year 3 Business-casual environment that includes the option to wear jeans 3 Generous paid time off upon hire - including a paid time off program plus ten paid company holidays and three floating holidays each calendar year 3 Paid volunteer time - 16 hours per calendar year 3 Leave of absence programs - including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA) 3 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. Base Salary Range $138,000.00 - $200,100.00 The salary range above shows the typical minimum to maximum base salary range for this position in the location listed. Non-sales positions have the opportunity to participate in a bonus program. Sales positions are eligible for sales incentives, and in some instances a bonus plan, whereby total compensation may far exceed base salary depending on individual performance. Actual compensation offered may vary from posted hiring range based upon geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer. This job operates in a professional office environment. This job description is not intended to be an exhaustive list of all duties, responsibilities and qualifications of the job. The employer has the right to revise this job description at any time. You will be evaluated in part based on your performance of the responsibilities and/or tasks listed in this job description. You may be required to perform other duties that are not included on this job description. The job description is not a contract for employment, and either you or the employer may terminate employment at any time, for any reason, as per terms and conditions of your employment contract.