Partner with Product Managers and business stakeholders to translate operational workflows into technical requirements
Design, build, and maintain low‑code solutions, including Power Automate flows
Assist with Copilot and agent configuration, prompt design, and workflow integration into existing tools and platforms
Participate in discovery activities to identify automation opportunities and define success metrics
Create and maintain technical documentation
Perform testing, debugging, and validation of automations across environments
Analyze product and automation usage data to identify performance issues and optimization opportunities
Demo working solutions to stakeholders and clearly communicate technical concepts to non‑technical audiences
Collaborate with engineering, security, and platform teams to ensure solutions align with enterprise standards
Contribute to continuous improvement of low‑code patterns, reusable components, and best practices within the AI/Automation COE
Requirements
Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related technical field
3–5 years of experience in product analysis, automation, RPA, or technical consulting roles
Hands‑on experience building low‑code automations, with a strong emphasis on Power Automate
Experience integrating and working with commercial LLM providers (e.g., OpenAI, Anthropic Claude) via APIs or platform tools
Understanding of prompt design, prompt versioning, and structured outputs
Familiarity with LLM orchestration concepts such as multi step agent workflows
Experience integrating systems via APIs, connectors, or data services
Strong SQL skills and experience working with relational data sources
Working knowledge of the Power Platform (Power Apps, Power Automate, Copilot Studio, Dataverse concepts)
Proficiency with Power BI, Excel, and data visualization best practices
Ability to troubleshoot complex workflows and reason through technical failures and edge cases
Familiarity with agile delivery models and product development lifecycles.
Must be inquisitive and demonstrate openness to innovation including AI to explore better processes and ways to alleviate friction and improve patient and client experiences.