Intelligent Automation Architect

BrightSpring Health Services•Louisville, KY

About The Position

BrightSpring Health Services is seeking an Intelligent Automation Architect to define and advance enterprise architecture for intelligent automation, analytics, copilots, and Agentic AI. The role establishes target architectures, platform strategy, design standards, and a multi-year roadmap aligned with enterprise priorities. It translates business opportunities into solution designs and guides appropriate use of UiPath, Microsoft Power Platform, Power BI and AI-powered business intelligence, Microsoft Copilot, Copilot Studio, Azure services, APIs, and Agentic AI. The architect partners with business and technology stakeholders to shape priorities, lead discovery and architecture workshops, communicate design options and tradeoffs, and promote reusable patterns across teams. The role provides technical direction and design assurance throughout delivery, from architecture and development through testing, deployment, adoption, and operational handoff. It governs architecture and production readiness, emphasizing security, integration, data, performance, responsible AI, maintainability, observability, supportability, and measurable enterprise outcomes, without acting as the primary developer for every solution.

Requirements

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.
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.

Nice To Haves

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.

Responsibilities

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 selection and 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, value, complexity, risk, and scale.
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 participating teams’ responsibilities.
Communicate architecture options, tradeoffs, and recommendations to technical and executive stakeholders to build alignment before delivery.
Mentor architects, developers, makers, analysts, and product teams, promoting shared patterns, reusable components, and consistent engineering practices.
Guide solutions through development, testing, deployment, adoption, and operational handoff while maintaining alignment with approved designs and the North Star.
Lead architecture checkpoints and design reviews covering security, integration, data, performance, responsible AI, maintainability, observability, and supportability.
Provide technical direction, resolve architectural risks and cross-team dependencies, and govern design changes.
Define production-readiness criteria, monitor architectural conformance, and ensure solutions achieve measurable outcomes and can be sustained at enterprise scale.