AI/Automation Architect

Job SummaryThe AI & Automation Architect is responsible for designing the end-to-end technical strategy for the organization's intelligent automation initiatives. This role involves selecting the right mix of technologies (RPA, Generative AI, Machine Learning, IDP) to solve complex business problems. The Architect ensures that solutions are scalable, secure, and cost-effective, moving beyond simple task automation to full-scale process transformation. Design scalable architectures for intelligent automation solutions, integrating RPA bots with AI models (e.g., using LLMs for decision-making within an RPA workflow)Evaluate and select appropriate platforms and tools based on cost, security, and fitDefine how automation tools communicate with enterprise systems via APIs, webhooks, or database connectionsEstablish coding standards, reusable component libraries, and best practices for development teams to ensure consistencyWork with InfoSec to ensure all AI/automation workflows comply with data privacy laws (GDPR/CCPA/HIPAA) and internal security policies (e.g., PII masking, role-based access control)Oversee the infrastructure sizing to support bots and high-volume AI inference requestsCollaborate with business analysts to determine if a process should be automated and howLead rapid Proof of Concept (PoC) projects to test emerging technologies before enterprise rolloutDesign the "Control Room" strategy for monitoring bot health, AI model drift, and license utilizationDisaster Recovery: Create failover strategies to ensure business-critical automations continue running during system outages Typical Duties:Meeting with Health system leaders to analyze a proposed process and determining if it requires simple RPA, complex AI (e.g., OCR/NLP), or if it shouldn't be automated at allDrafting technical blueprints that detail exactly how a bot will log in, where data will be stored, how exceptions are handled, and which AI models will be calledResearching and testing new AI tools to see if they fit the health systems tech stack better than current toolsDesigning and documenting the REST/SOAP API integrations between the automation platform and third-party appsCalculating the necessary compute power (CPU/RAM/GPU) required for upcoming automations and provisioning Virtual Machines (VMs)Configuring "Credential Vaults" so bots can log into systems without exposing passwords in the codeBuilding and maintaining a library of "snippets" that all developers must use to save timeMonitors bot health to ensure critical automations ran successfully overnightTroubleshoot complex failures that regular support teams cannot fixPlanning and executing upgrades for the automation platform without breaking existing botsFacilitating whiteboard sessions with non-technical departments to uncover their pain pointsPrompt engineering for business logic, understanding "context windows," and mitigating AI hallucinations in enterprise data.Experience with OCR and data extraction tools.Python, C#/.NETPowerShell or Bash for infrastructure tasks.Ability to design solutions that can handle spikes in volume.Knowledge of load balancing and concurrent processing.Understanding of RBAC (Role-Based Access Control).Secure credential management.Understanding of Virtual Machines (VMs), VDI (Virtual Desktop Infrastructure), and Docker/Kubernetes.Setting up pipelines to automate the testing and deployment of bots.Version control (Git) strategies for automation teams. QualificationsEducationBachelor’s degree in Computer Science, Data Science, or a related engineering discipline or equivalent experience required.Licensure/CertificationPrefer candidate holds an advanced professional certification in a major automation platform, such as the UiPath Certified Professional Automation Solutions Architect or Microsoft Power Platform Solution Architect(Above requirements can be met by equivalent combination of education and experience) Experience7+ years of IT experience, including at least 4 years designing scalable RPA and intelligent automation solutions using platforms like UiPath or Power AutomateDemonstrated expertise in integrating generative AI, machine learning models, and complex APIs into business workflows is essentialProven leadership in guiding technical teams through the full software development lifecycle (SDLC) within an Agile environment is requiredExperience translating business requirements into technical blueprints and managing stakeholder expectations is critical for success in this role Work ShiftDay