Summer Rpa Intern Jobs in Detroit, MI (NOW HIRING)

IntroductionWith more than 7,000 employees, we are the largest health insurance company in Michigan. We offer an exciting work environment with a diverse group of employees. Our goal is to make health insurance easier for our members. We want to transform the industry and become a resource that people can trust.

Overview

The AI Engineer/Technical Lead is responsible for designing, developing, and leading intelligent automation solutions using UiPath’s RPA and AI ecosystem. The role combines hands-on development with technical leadership, ensuring high-quality delivery of AI-enhanced automation projects.

Responsibilities

• Manage the Intelligent Automation Platform roadmap, strategy, and lifecycle, aligning automation initiatives with business and digital transformation goals.
• Manage and prioritize the product backlog, define user stories and acceptance criteria, and drive Agile delivery through sprint planning, backlog refinement, release planning, and stakeholder reviews.
• Partner with business stakeholders, architects, and engineering teams to gather requirements, evaluate automation opportunities, and translate business needs into scalable technical solutions.
• Lead the design, development, implementation, and support of enterprise automation solutions using UiPath Automation Cloud, Orchestrator, AI Center, Document Understanding, Integration Service, and Agentic AI.
• Provide technical leadership, architecture guidance, code reviews, and mentorship to RPA developers while promoting engineering best practices and reusable automation components.
• Establish and maintain platform governance, security, compliance, operational standards, and automation best practices to ensure enterprise-wide platform reliability.
• Oversee production support, platform upgrades, release deployments, bot monitoring, incident resolution, and performance optimization to ensure high platform availability and scalability.
• Drive digital transformation by identifying, prioritizing, and delivering AI-powered automation solutions that improve operational efficiency and business outcomes.
• Collaborate with vendors and internal technology teams to optimize platform performance, licensing, infrastructure, and technology investments.
• Lead cross-functional teams to successfully deliver automation initiatives within scope, budget, quality, and timeline commitments.
• Define and monitor product KPIs, platform health metrics, and automation performance, providing executive-level reporting and strategic recommendations.
• Evaluate emerging automation and AI technologies to continuously enhance enterprise automation capabilities and accelerate platform adoption

Requirements

• 10+ years of IT experience with expertise in Product Ownership, Intelligent Automation, and Enterprise Platform Management.
• Proven experience managing UiPath Automation Platform, including Automation Cloud, Orchestrator, AI Center, Document Understanding, Agentic Automation, and enterprise bot operations.
• Strong knowledge of Agile/Scrum, product backlog management, user story creation, sprint planning, release management, and product roadmap execution.
• Experience gathering business requirements, defining acceptance criteria, and translating business needs into scalable technical solutions.
• Strong understanding of RPA, AI/Generative AI, APIs, cloud technologies, and system integrations.
• Experience establishing platform governance, automation standards, security, compliance, and operational excellence for enterprise automation.
• Demonstrated ability to lead cross-functional teams, manage stakeholders, vendors, budgets, and drive digital transformation initiatives.
• Proficiency with Jira, Azure DevOps, Confluence, SQL, Power BI, and Microsoft Azure.
• Strong expertise with UiPath Studio, Orchestrator, AI Center, Document Understanding, and Action Center.
• Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-Learn).
• Experience with OCR technologies (Document Understanding, ABBYY, Google Vision, Azure Form Recognizer).
• Knowledge of API integration, REST/SOAP services, SQL/NoSQL databases.
• Understanding of cloud platforms (Azure/AWS/GCP) and containerization (Docker).
• Familiarity with Git, CI/CD pipelines, and DevOps for automation
• Excellent analytical, problem-solving, communication, and executive presentation skills.
• Healthcare industry and enterprise automation experience preferred.

AI & ML Expertise:

• Design and build custom ML models (Python, TensorFlow, PyTorch, Scikit-Learn) to solve business-specific problems.
• Fine-tune and optimize models for accuracy, performance, and scalability.
• Manage model lifecycle: training, retraining, versioning, monitoring, and drift detection.
• Utilize GenAI, NLP, LLM-based solutions to enhance automation (ChatGPT-like assistants, classification models, summarization tools, etc.).