Sr. AI & Machine Learning Engineer

Build AI-Powered Business Solutions

• Develop predictive, optimization, forecasting, recommendation, computer vision, and generative AI applications
• Design and implement agentic workflows, copilots, and intelligent applications
• Transform high-value business opportunities into scalable production solutions
• Work directly with business stakeholders to define requirements and measure outcomes

Engineer Production-Ready Systems

• Design, build, test, and maintain software applications that incorporate machine learning and AI capabilities
• Develop APIs, services, orchestration layers, and enterprise integrations
• Build user-facing applications that enable employees to interact with AI systems
• Create reusable components and frameworks that accelerate AI delivery across the enterprise

Operationalize Machine Learning

• Develop model training, deployment, evaluation, monitoring, and retraining workflows
• Establish engineering and CI/CD standards for AI application development
• Implement model observability, performance monitoring, and operational controls
• Ensure AI systems remain reliable, secure, maintainable, and cost effective

Partner Across Enterprise AI

• Collaborate with Product Managers, Data Scientists, Architects, Security, and Platform teams
• Contribute to enterprise AI standards, approved development patterns, and governance processes
• Evaluate and prototype emerging AI technologies, translating promising advances into practical, scalable business solutions
• Guide technology adoption by recommending where new AI capabilities fit within the architecture, roadmap, and business priorities
• Help establish repeatable practices that enable AI delivery at scale
• Mentor engineers and elevate AI engineering capabilities across the organization

Required:

• Bachelor’s degree in Computer Science or a related technical field
• 7+ years of software engineering experience
• Experience building production applications used by business users
• Strong proficiency in Python
• Experience designing APIs, services, integrations, and distributed systems
• Experience deploying machine learning models into production environments
• Experience with cloud platforms such as Azure
• Strong software engineering fundamentals including testing, code quality, version control, and system design

Preferred:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field
• 5+ years of experience with data structures/algorithms
• 3+ years of experience in a technical leadership role leading project teams and setting technical direction
• Experience building generative AI applications using Azure OpenAI, OpenAI, Anthropic, or similar platforms
• Experience with AI agents, orchestration frameworks, and Retrieval-Augmented Generation (RAG)
• Experience with MLOps practices and machine learning lifecycle management
• Experience with React, TypeScript, or modern web application frameworks
• Experience with enterprise data platforms such as Snowflake, Databricks, or Fabric
• Experience working in manufacturing, supply chain, consumer goods, logistics, or enterprise operations

This is a hybrid role based in St. Louis, Missouri. In office days are Tuesdays, Wednesdays, and Thursdays.

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