Intelligent Automation Architect
BrightSpring Health Services
Overview
BrightSpring Health Services is a Louisville‑headquartered leader in complementary home‑ and community‑based health services for complex populations, with integrated clinical and pharmacy solutions across care settings. Following its combination with PharMerica, BrightSpring operates a diversified care and pharmacy platform—serving patients and provider partners nationwide—which makes intelligent automation a pivotal enabler of clinical, operational, corporate, and pharmacy outcomes at scale.
We’re seeking an Intelligent Automation Architect with deep expertise in UiPath, Microsoft Power Platform, Power BI and AI-powered business intelligence, Microsoft Copilot, Copilot Studio, and Agentic AI. This role will define target architectures, translate business opportunities into scalable solution designs, and lead solutions from concept and architecture through development, deployment, adoption, and measurable enterprise delivery.
Responsibilities
What You’ll Do (Key Responsibilities)
Architecture & North Star Alignment
- Define the Intelligent Automation and AI North Star, target-state architecture, platform strategy, and multi-year roadmap aligned with enterprise priorities.
- Establish secure, scalable, reusable, and supportable reference architectures, design principles, integration patterns, and technology standards.
- Translate business capabilities and opportunities into architecture blueprints, solution options, process and data flows, nonfunctional requirements, and implementation roadmaps.
- Guide the appropriate use of UiPath, Microsoft Power Platform, Power BI and AI BI, Microsoft Copilot, Copilot Studio, Azure services, APIs, and Agentic AI based on strategic fit, business value, complexity, risk, and scale.
Cross-Team Architecture Collaboration
- Partner with business leaders, product owners, enterprise architects, security, data, infrastructure, operations, and delivery teams to shape priorities and align solutions with the North Star.
- Lead discovery and architecture workshops to clarify outcomes, dependencies, risks, design decisions, and the responsibilities of each participating team.
- Communicate architecture options, tradeoffs, and recommendations to technical and executive stakeholders, building alignment before delivery begins.
- Mentor architects, developers, makers, analysts, and product teams; promote shared patterns, reusable components, and consistent engineering practices across platforms.
Delivery Governance & Design Assurance
- Drive solutions from architecture through development, testing, deployment, adoption, and operational handoff while maintaining alignment with the approved design and North Star.
- Lead architecture checkpoints and design reviews to verify security, integration, data, performance, responsible AI, maintainability, observability, and supportability standards.
- Provide technical direction to delivery teams, resolve architectural risks and cross-team dependencies, and govern design changes without becoming the primary developer for every solution.
- Define production-readiness criteria, monitor architectural conformance, and ensure delivered solutions achieve measurable outcomes and can be sustained at enterprise scale.
Qualifications
Required Qualifications
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience.
- Proven experience architecting enterprise automation, analytics, copilot, and AI solutions from discovery and architecture through development, deployment, and operational transition.
- Advanced knowledge of UiPath, including Studio, Orchestrator, queues, assets, libraries, Document Understanding, integrations, and enterprise deployment patterns.
- Strong architecture and hands-on prototyping experience with Microsoft Power Platform, including Power Automate, Power Apps, Dataverse, connectors, governance, and application lifecycle management.
- Experience designing Power BI and AI BI solutions, including semantic models, governed data, dashboards, natural-language analytics, and decision-support use cases.
- Hands-on experience designing copilots and enterprise assistants with Microsoft Copilot and Copilot Studio, including grounding, plugins, actions, connectors, and security controls.
- Strong knowledge of Agentic AI architecture, generative AI, model and tool orchestration, prompt engineering, retrieval-augmented generation, evaluation, responsible AI, and human oversight.
- Demonstrated ability to lead end-to-end delivery, define success criteria, manage feasibility and risk, and produce implementation roadmaps, production-ready solutions, and measurable outcomes.
- Strong understanding of Azure services, APIs, event-driven integration, databases, identity and access management, source control, DevOps, monitoring, and secure solution design.
- Excellent architecture documentation, facilitation, problem-solving, executive communication, and cross-functional leadership skills.
Preferred Qualifications
- Experience architecting intelligent automation and AI solutions in healthcare, pharmacy, revenue cycle, clinical, or other regulated environments.
- Experience with Azure AI services, Azure OpenAI, Microsoft Fabric, Dataverse, SharePoint, Microsoft 365, CI/CD pipelines, and enterprise integration patterns.
- Knowledge of process mining, task mining, intelligent document processing, OCR, and automation opportunity assessment.
- Experience establishing reference architectures, centers of excellence, platform governance, reusable frameworks, and responsible AI controls.
- Relevant certifications such as UiPath Solution Architect, UiPath Advanced RPA Developer, Microsoft Power Platform Solution Architect, Power BI Data Analyst, Azure AI Engineer, or Copilot Studio credentials.
- Familiarity with technology evaluation, vendor assessment, architecture review boards, Agile delivery, backlog management, and production transition practices.
- Ability to influence stakeholders, mentor engineers and makers, and turn emerging technology into pragmatic, governed enterprise solutions.
About our Line of Business
BrightSpring Health Services provides complementary home- and community-based health solutions for complex populations in need of specialized and/or chronic care. Through the Company’s service lines, including pharmacy, home health care, and rehabilitation, we provide comprehensive and more integrated care and clinical solutions in all 50 states to over 475,000 customers, clients and patients daily. BrightSpring has consistently demonstrated strong and industry-leading quality metrics across its services lines, while improving the health and quality of life for high-need individuals and reducing overall healthcare system costs. For more information, please visit www.brightspringhealth.com. Follow us on Facebook, LinkedIn, and X.
Additional Job Information
Why Join Us?
- Shape the architecture for intelligent automation, copilots, analytics, and Agentic AI solutions that improve healthcare and business operations.
- Work across UiPath, Microsoft Power Platform, Power BI and AI BI, Microsoft Copilot, Copilot Studio, Azure, and Agentic AI technologies.
- Turn high-value ideas into secure, scalable, production-ready solutions with measurable enterprise impact.
- Partner with business and technology leaders to establish reusable patterns, governance, and measurable business impact.
What You’ll Do (Key Responsibilities)
Architecture & North Star Alignment
- Define the Intelligent Automation and AI North Star, target-state architecture, platform strategy, and multi-year roadmap aligned with enterprise priorities.
- Establish secure, scalable, reusable, and supportable reference architectures, design principles, integration patterns, and technology standards.
- Translate business capabilities and opportunities into architecture blueprints, solution options, process and data flows, nonfunctional requirements, and implementation roadmaps.
- Guide the appropriate use of UiPath, Microsoft Power Platform, Power BI and AI BI, Microsoft Copilot, Copilot Studio, Azure services, APIs, and Agentic AI based on strategic fit, business value, complexity, risk, and scale.
Cross-Team Architecture Collaboration
- Partner with business leaders, product owners, enterprise architects, security, data, infrastructure, operations, and delivery teams to shape priorities and align solutions with the North Star.
- Lead discovery and architecture workshops to clarify outcomes, dependencies, risks, design decisions, and the responsibilities of each participating team.
- Communicate architecture options, tradeoffs, and recommendations to technical and executive stakeholders, building alignment before delivery begins.
- Mentor architects, developers, makers, analysts, and product teams; promote shared patterns, reusable components, and consistent engineering practices across platforms.
Delivery Governance & Design Assurance
- Drive solutions from architecture through development, testing, deployment, adoption, and operational handoff while maintaining alignment with the approved design and North Star.
- Lead architecture checkpoints and design reviews to verify security, integration, data, performance, responsible AI, maintainability, observability, and supportability standards.
- Provide technical direction to delivery teams, resolve architectural risks and cross-team dependencies, and govern design changes without becoming the primary developer for every solution.
- Define production-readiness criteria, monitor architectural conformance, and ensure delivered solutions achieve measurable outcomes and can be sustained at enterprise scale.
Required Qualifications
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience.
- Proven experience architecting enterprise automation, analytics, copilot, and AI solutions from discovery and architecture through development, deployment, and operational transition.
- Advanced knowledge of UiPath, including Studio, Orchestrator, queues, assets, libraries, Document Understanding, integrations, and enterprise deployment patterns.
- Strong architecture and hands-on prototyping experience with Microsoft Power Platform, including Power Automate, Power Apps, Dataverse, connectors, governance, and application lifecycle management.
- Experience designing Power BI and AI BI solutions, including semantic models, governed data, dashboards, natural-language analytics, and decision-support use cases.
- Hands-on experience designing copilots and enterprise assistants with Microsoft Copilot and Copilot Studio, including grounding, plugins, actions, connectors, and security controls.
- Strong knowledge of Agentic AI architecture, generative AI, model and tool orchestration, prompt engineering, retrieval-augmented generation, evaluation, responsible AI, and human oversight.
- Demonstrated ability to lead end-to-end delivery, define success criteria, manage feasibility and risk, and produce implementation roadmaps, production-ready solutions, and measurable outcomes.
- Strong understanding of Azure services, APIs, event-driven integration, databases, identity and access management, source control, DevOps, monitoring, and secure solution design.
- Excellent architecture documentation, facilitation, problem-solving, executive communication, and cross-functional leadership skills.
Preferred Qualifications
- Experience architecting intelligent automation and AI solutions in healthcare, pharmacy, revenue cycle, clinical, or other regulated environments.
- Experience with Azure AI services, Azure OpenAI, Microsoft Fabric, Dataverse, SharePoint, Microsoft 365, CI/CD pipelines, and enterprise integration patterns.
- Knowledge of process mining, task mining, intelligent document processing, OCR, and automation opportunity assessment.
- Experience establishing reference architectures, centers of excellence, platform governance, reusable frameworks, and responsible AI controls.
- Relevant certifications such as UiPath Solution Architect, UiPath Advanced RPA Developer, Microsoft Power Platform Solution Architect, Power BI Data Analyst, Azure AI Engineer, or Copilot Studio credentials.
- Familiarity with technology evaluation, vendor assessment, architecture review boards, Agile delivery, backlog management, and production transition practices.
- Ability to influence stakeholders, mentor engineers and makers, and turn emerging technology into pragmatic, governed enterprise solutions.
Required Skills
Required Languages
🇬🇧 English