Design and deploy production machine learning models and AI-powered applications, build intelligent agents and automated workflows, and improve model performance, security, and engineering productivity.
AI Automation Engineer
π Description
- Analyze operational workflows with business teams and SMEs to identify automation opportunities.
- Build and deploy AI agents and workflows using Microsoft Copilot Studio, Power Automate, and Microsoft AI tools.
- Integrate systems through APIs and orchestrate workflows across platforms and data sources.
- Prototype solutions, gather end-user feedback, and translate business needs into production-ready automations.
- Test, monitor, maintain, and document deployed solutions while supporting adoption, training, and continuous improvement.
π οΈ Requirements
- Proven experience building and deploying automations and AI agents in a production environment.
- Hands-on experience with Microsoft Copilot Studio, Power Automate, and the Microsoft AI ecosystem.
- Experience with API integration and workflow orchestration.
- Ability to turn real business workflows into working solutions, beyond basic chatbots.
- Experience with rapid prototyping and iterating with end users.
- Understanding of enterprise data, security, and governance.
- Strong analytical, communication, and problem-solving skills.
- Willingness to work according to US business hours.
Full job description
Our client is a US-based company specializing in advanced solutions for health plans. Their platform helps both new and established Medicare and Medicaid programs scale efficiently by improving staff productivity, streamlining processes, and reducing operational costs.
The company offers flexible solutions through SaaS (Software as a Service) and BPaaS (Business Process as a Service), enabling health plans to optimize operations, enhance member experiences, and maintain compliance with industry regulations.
We are looking for an AI Automation Engineer to identify, design, build, and deploy AI agents and automations for operational teams. This is a hands-on role: you will turn real business workflows into working solutions, not just chatbots, and work closely with end users to iterate quickly and deliver measurable impact.
Responsibilities
- Identify automation and AI opportunities by analyzing operational workflows together with business teams and SMEs.
- Design, build, and deploy AI agents and automated workflows using Microsoft Copilot Studio, Power Automate, and the broader Microsoft AI ecosystem.
- Integrate systems via APIs and orchestrate workflows across multiple platforms and data sources.
- Rapidly prototype solutions and iterate on them with end users based on their feedback.
- Translate business requirements into working, production-ready automations.
- Ensure solutions comply with enterprise data, security, and governance standards.
- Test, monitor, and maintain deployed solutions; document workflows and technical designs.
- Support operational teams with adoption, training, and continuous improvement of automations.
Requirements
- Proven experience building and deploying automations and AI agents in a production environment.
- Hands-on experience with Microsoft Copilot Studio, Power Automate, and the Microsoft AI ecosystem.
- Experience with API integration and workflow orchestration.
- Ability to turn real business workflows into working solutions, beyond basic chatbots.
- Experience with rapid prototyping and iterating with end users.
- Understanding of enterprise data, security, and governance.
- Strong analytical, communication, and problem-solving skills.
- Willingness to work according to US business hours.
Would Be a Plus
- Healthcare experience, ideally in the payer or health insurance industry.
- Knowledge of Medicare and/or Medicaid processes.
- Familiarity with claims, enrollment, provider management, or authorizations workflows.
- Experience writing SQL queries and performing data analysis.
- Experience supporting software implementations and process improvements
Similar jobs
Search more AI Engineer jobsBuild autonomous AI agents for executive workflows, develop and validate new capabilities, measure quality across representative tasks, and improve reliability through production analysis and durable fixes.
AI Platform Engineer
Build autonomous AI agents and internal developer platform capabilities that automate software delivery workflows, establish reliable quality and safety controls, and scale practical AI solutions across engineering teams.
Engineering - Internal AI Transformation
Build and operate agentic AI workflows that automate internal processes across GTM, Operations, and Finance, owning solutions from discovery through production and establishing reusable, reliable patterns.
Design, build, and optimize AI-powered workflows that reduce manual work and improve business efficiency, integrating automation tools, APIs, chatbots, and AI assistants across teams.
