Senior Software AI Platform Engineer (W2)

Envision; St. Louis (MO); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Envision is seeking a Senior AI Platform Engineer to advance production-grade AI capabilities, platform components, integrations, and automation solutions that drive measurable business value.

You will work with the lead engineer to ensure AI systems are observable, monitored, and operable in production, delivering robust, scalable AI-enabled automation across enterprise apps and data stores.

Qualifications

• Experience in a production environment.
• Understanding quality assurance.
• Proper error and exception handling.
• Needs to understand when AI is best used.

Responsibilities

• Design, build, deploy, and operate enterprise AI solutions.
• Evolve RAG, agent-based, and AI workflow solutions under senior leadership.
• Implement AI observability, tracing, and monitoring.
• Integrate AI and automation with enterprise apps, databases, APIs, document repositories, and file-based systems.
• Design and develop automation solutions using Blue Prism, UiPath, ABBYY OCR.
• Collaborate with stakeholders to define automation requirements.
• Identify process gaps, business rule exceptions, and AI/automation risks.
• Troubleshoot issues, perform root-cause analysis, and implement long-term fixes.
• Maintain technical documentation and support materials.
• Contribute to solution design, platform standards, and continuous improvement.

Skills

Production software

API integration

C#/Python/Java

Testing & QA

Release management

AI engineering interest

Education

Bachelor's degree in CS/Engineering

Tools

Blue Prism

UiPath

ABBYY OCR

Databricks

LangGraph

Job description

Arrangements: Hybrid, 3 days in-office per week. 1 day must be a Monday or Friday.

Interview: first round via Teams. Second round will be in-person.

Extend or convert: Conversion is the goal, but the fit needs to be right and the work needs to be good.

Description:

Day-to-day:

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.

3 must-have skills: 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.

About the Role

You will work closely with the lead AI platform engineer to develop production-ready AI capabilities, platform components, integrations, and automation solutions that create measurable business value. A key part of the role is ensuring AI systems can be evaluated, monitored, and operated successfully in production

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.

Required Skills

• 2+ years of experience developing and supporting software solutions in production environments.
• Experience integrating systems through APIs, databases, and enterprise applications.
• Working knowledge of C#, Python, Java, or similar languages.
• Strong troubleshooting, analytical, and problem-solving skills.
• Understanding of testing, quality assurance, and release management practices.
• Interest in AI engineering, RAG applications, agentic workflows, LLM-based systems, or AI-enabled automation.
• Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.

Nice to Have

• Experience with Blue Prism, UiPath, and/or ABBYY OCR.
• Experience with intelligent document processing or AI-enabled automation.
• Experience with AWS, Azure, or other cloud platforms.
• Experience with Databricks.
• Hands-on experience with LangGraph or similar agent orchestration frameworks.
• Experience building AI workflows that leverage tools, APIs, MCP servers, and external systems.
• Understanding of agent architecture patterns, prompt engineering, and LLM evaluation techniques.

Mindset

• Takes ownership and follows problems through to resolution.
• Self-motivated and comfortable learning quickly in a rapidly evolving technical space.
• Proactively identifies process exceptions, edge cases, and risks.
• Balances speed, quality, reliability, and maintainability.
• Continuously looks for opportunities to simplify processes and improve outcomes.
• Collaborates effectively with lead engineers, product owners, business stakeholders, and technical teams.
• Accountable for the reliability and success of solutions in production.