Sr. Machine Learning Solutions Architect

Role Overview

Act as a senior technical leader responsible for designing and delivering production-grade machine learning and data solutions for enterprise clients across diverse industries. Partner with data scientists, engineers, DevOps teams, and business stakeholders to turn data into actionable, production-ready AI systems.

What You Will Do

Lead end-to-end architecture, design, and delivery of machine learning and data platform solutions for enterprise clients, ensuring scalability, security, and measurable business value. Translate business requirements and data science needs into production-ready MLOps architectures.

Why It Might Be a Fit

This position blends deep technical expertise with client-facing leadership, requiring both architectural vision and hands-on execution. You will play a key role in shaping MLOps standards, improving delivery frameworks, and advancing best practices across modern data platforms.

Requirements

• 8+ years of experience in machine learning engineering, data engineering, or software engineering with production-grade ML system delivery
• Strong expertise in Python (or similar languages such as Scala or Java)
• Hands-on experience with distributed data processing and big data platforms such as Spark, Snowflake, Databricks, Redshift, or EMR
• Strong knowledge of cloud and systems architecture across AWS, Azure, or GCP
• Proven experience deploying machine learning models into production environments with robust monitoring, testing, and operational support
• Advanced SQL skills, including query optimization and working with large-scale distributed datasets
• Experience in consulting or client-facing delivery environments
• Strong communication and leadership skills

Benefits

• Remote-first work environment across the United States
• Competitive compensation package with performance-based opportunities
• 401(k) plan with company match
• Comprehensive medical, dental, and vision insurance
• Paid time off including approximately 4 weeks PTO and 10 holidays
• Annual learning and development stipend
• Home office equipment support
• Career growth opportunities through complex, high-impact enterprise AI projects
• Collaborative, global, and values-driven engineering culture