AI Engineer

job summary: The Senior AI Platform Engineer will support the development of the company’s AI platform, working closely with the Lead AI Platform Engineer to enhance chatbot and agentic AI capabilities. The role will also help integrate AI into automation workflows, partnering with automation engineers to deliver AI-enabled business solutions. Strong software engineering fundamentals are required, while AI and automation platform expertise can be developed on the job.

location: St. Louis, Missouri job type: Contract salary: $70 - 75 per hour work hours: 9am to 5pm education: Bachelors

responsibilities: What You Will Do

· Support the Lead AI Platform Engineer in designing, building, deploying, and operating enterprise AI solutions.

· Help build and evolve RAG, agent-based, and AI workflow solutions under the guidance of senior technical leadership.

· Implement AI observability, tracing, and monitoring capabilities.

· Integrate AI and automation solutions with enterprise applications, databases, APIs, document repositories, and file-based systems.

· Design and develop automation solutions, primarily using Blue Prism, UiPath, and ABBYY OCR.

· Partner with business stakeholders to understand processes and define automation requirements.

· Identify process gaps, business rule exceptions, and AI and automation risks.

· Troubleshoot issues, perform root cause analysis, and implement long-term solutions.

· Maintain technical documentation and support materials.

· Contribute to solution design, platform standards, and continuous improvement initiatives.

qualifications: Experience in a production environment.

Understanding quality assurance.

Proper error and exception handling.

Needs to understand when AI is best used.

Nice-to-have skills:

Any production experience with AI (RAG, chatbot, agentic workflows), Databricks, someone who can integrate and interact with the team.

skills: AI Platform,agentic workflows,Experience with AWS,APIs,architecture patterns,AI,AI-enabled,AI capabilities,AI solutions,AI engineering,AI workflows,Blue Prism,C#,chatbot,databases,Databricks,enterprise applications,LLM evaluation,LLM-based systems,Information Systems,Computer Science,automation platform,intelligent document processing,Java,LangGraph,AI observability,Azure,agent orchestration frameworks,prompt engineering,Python,release management,RAG,software solutions,Strong troubleshooting,integrating systems,UiPath,analytical,Troubleshoot issues,problem-solving skills,Accountable,reliability,Self-motivated,Proactively,automation,automation solutions,continuous improvement,business rule,AI systems,automation workflows,software engineering fundamentals,quality assurance,learning quickly,risks,root cause analysis,exception handling,technical documentation,technical leadership,testing,tracing,business value

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.

Pay offered to a successful candidate will be based on several factors including the candidate’s education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.

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What You Will Do

· Support the Lead AI Platform Engineer in designing, building, deploying, and operating enterprise AI solutions.

· Help build and evolve RAG, agent-based, and AI workflow solutions under the guidance of senior technical leadership.

· Implement AI observability, tracing, and monitoring capabilities.

· Integrate AI and automation solutions with enterprise applications, databases, APIs, document repositories, and file-based systems.

· Design and develop automation solutions, primarily using Blue Prism, UiPath, and ABBYY OCR.

· Partner with business stakeholders to understand processes and define automation requirements.

· Identify process gaps, business rule exceptions, and AI and automation risks.

· Troubleshoot issues, perform root cause analysis, and implement long-term solutions.

· Maintain technical documentation and support materials.

· Contribute to solution design, platform standards, and continuous improvement initiatives.

AI Platform,agentic workflows,Experience with AWS,APIs,architecture patterns,AI,AI-enabled,AI capabilities,AI solutions,AI engineering,AI workflows,Blue Prism,C#,chatbot,databases,Databricks,enterprise applications,LLM evaluation,LLM-based systems,Information Systems,Computer Science,automation platform,intelligent document processing,Java,LangGraph,AI observability,Azure,agent orchestration frameworks,prompt engineering,Python,release management,RAG,software solutions,Strong troubleshooting,integrating systems,UiPath,analytical,Troubleshoot issues,problem-solving skills,Accountable,reliability,Self-motivated,Proactively,automation,automation solutions,continuous improvement,business rule,AI systems,automation workflows,software engineering fundamentals,quality assurance,learning quickly,risks,root cause analysis,exception handling,technical documentation,technical leadership,testing,tracing,business value