Sr. AI & Machine Learning Engineer

Post Holdings Inc. is seeking a Senior AI & Machine Learning Engineer to design and operationalize AI-powered, production-ready business solutions. In this hybrid role based in St. Louis, MO, you will build capabilities ranging from agentic workflows and copilots to end-to-end machine learning systems, collaborating across enterprise teams to standardize delivery and scale impact.

You will partner with business stakeholders and engineering teams to define requirements, measure outcomes, and translate high-value opportunities into practical, maintainable software. The role also includes developing the engineering and CI/CD practices needed to deliver reliable AI applications across the organization.

Responsibilities

• Develop predictive, optimization, forecasting, recommendation, computer vision, and generative AI applications.
• Design and implement agentic workflows, copilots, and intelligent applications.
• Convert high-value business opportunities into scalable production solutions.
• Work with business stakeholders to define requirements and measure outcomes.
• 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 to accelerate AI delivery across the enterprise.
• 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.
• 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 and translate advances into practical solutions.
• Guide technology adoption by recommending how new capabilities fit 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.

Requirements

• 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.

Technologies

• Python
• Azure
• Azure OpenAI
• OpenAI
• Anthropic
• React
• TypeScript
• Snowflake
• Databricks
• Fabric

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.