layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

AI Intelligent Automation, Director at Vizient | LAYIQ

Lead the architecture and engineering of enterprise intelligent automation solutions using Power Platform, UiPath, APIs, cloud services, integration patterns, and AI-enabled capabilities.
Determine the appropriate solution pattern for each use case, including workflow, low-code, RPA, API integration, orchestration, AI-assisted automation, or combinations of these approaches.
Establish technical standards for solution design, coding, integration, security, deployment, observability, supportability, and reuse.
Provide technical oversight across design, build, testing, deployment, monitoring, optimization, and production support.
Build reusable automation components, connectors, templates, frameworks, libraries, and implementation patterns that accelerate delivery across Vizient.
Drive modern software engineering practices, including source control, automated testing, CI/CD, environment management, telemetry, and engineering documentation.
Reduce unnecessary platform-specific customization by promoting API-first, reusable, and maintainable engineering patterns.
Advance the team from traditional RPA toward intelligent automation using deterministic workflows, APIs, low-code platforms, AI models, agents, orchestration, and human-in-the-loop patterns.
Evaluate emerging automation and AI technologies and recommend when to adopt, standardize, integrate, or retire capabilities.
Partner with architecture, security, infrastructure, quality engineering, delivery, and platform teams to ensure solutions are feasible, secure, scalable, production-ready, and sustainable.
Support technical risk management, complex issue resolution, vendor evaluations, build-versus-buy decisions, and alignment with architecture, privacy, compliance, AI governance, and quality requirements.
Lead, mentor, and develop automation engineers and technical leads; serve as the technical escalation point and communicate architecture decisions, tradeoffs, risks, and recommendations to technical and leadership stakeholders.

AI Intelligent Automation, Director

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