Senior ML Solutions Architect: Production ML APIs

Empower Retirement; Greenwood Village (CO); On-site; USD 138,000 - 200,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

401(k) Retirement Savings

Tuition Reimbursement

Paid Time Off

Job summary

Empower Retirement is seeking a senior ML Architect to design end-to-end machine learning solutions and define scalable data flows across distributed systems. You will lead the architecture for feature engineering, model training, experimentation, and production deployment, collaborating with data scientists and engineers to productionize models using modern platforms.

You will build reusable capabilities, expose outputs via APIs and real-time services, and shape MLOps patterns for reliable

Qualifications

• 8+ years in data/platform/software eng roles with exposure to ML/advanced analytics
• Experience designing and delivering production-grade ML/analytics solutions
• Strong background in data architecture and data movement across distributed systems
• Deep understanding of ML workflows: feature engineering, model training, experimentation, evaluation, and production deployment
• Experience with modern data/ML platforms such as AWS, Snowflake, Databricks or similar

Responsibilities

• Architect end-to-end ML solutions from data ingestion through production consumption across multiple business use cases
• Design and standardize data flows across systems to support ML, analytics, personalization, and real-time decisioning
• Define architectural patterns for feature engineering, model training workflows, experimentation, and model evaluation at scale
• Define MLOps patterns for 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 ML outputs are exposed through APIs, batch processes, and real-time services
• Partner with data scientists and engineers to reduce friction between experimentation and production while guiding architectural decisions

Skills

ML workflows

Production-grade ML

Data architecture

API & real-time services

Education

Bachelor's degree in Data Science/Statistics/CS

Tools

AWS

Snowflake

Databricks

Job description

Empower Retirement is seeking a senior ML Architect to design end-to-end machine learning solutions and define scalable data flows across distributed systems. You will lead the architecture for feature engineering, model training, experimentation, and production deployment, collaborating with data scientists and engineers to productionize models using modern platforms.

You will build reusable capabilities, expose outputs via APIs and real-time services, and shape MLOps patterns for reliable