Lead AI Automation Engineer

Prophecy Technologies

$120K — $150K *
Enterprise Technology
11 - 15 years of experience
Job Overview by Ladders

Qualifications

  • 12+ years in software engineering, enterprise automation or platform engineering.
  • 8+ years with UiPath engineering experience.
  • 5+ years in leadership of technical teams or complex automation initiatives.
  • Relevant degree preferred.
  • Strong technical leadership and executive communication skills.

Responsibilities

  • Own the solution architecture and technical delivery for automation projects.
  • Select technology and integration approaches for initiatives.
  • Define skills, roles, and effort needed for execution.
  • Lead engineers through design, development, and deployment phases.
  • Ensure technical delivery commitments and quality standards are met.
  • Govern reference architectures and engineering standards.
  • Conduct architecture reviews and complex troubleshooting.

Benefits

  • Opportunities for leadership development and technical coaching.
  • Engagement with advanced technologies like AI and Automation.
  • Collaborative working environment in a dedicated automation center.
  • Chance to lead transformative enterprise initiatives.
  • Support for professional certifications and continuous learning.
Full Job Description
Role Overview:

In this role, you will be the technical delivery leader for enterprise Intelligent Automation initiatives. You will determine the appropriate technologies, solution architecture, engineering approach, technical skills, and support model required for successful delivery. You will lead AI Automation Engineers and Senior AI Automation Engineers across multiple initiatives and remain accountable for technical quality, delivery success, production readiness, and operational support.

Key Responsibilities:
  • Own solution architecture and technical delivery for enterprise automation initiatives.
  • Select the appropriate technology, platform capabilities, integration approach, and engineering patterns for each initiative.
  • Define the skills, roles, effort, technical dependencies, and delivery approach required for successful execution.
  • Lead multiple engineers, including Senior AI Automation Engineers, through design, development, testing, deployment, and support.
  • Be accountable for technical delivery commitments, engineering quality, production readiness, and ongoing solution support.
  • Define and govern reference architectures, reusable frameworks, engineering standards, design patterns, and lifecycle practices.
  • Lead architecture reviews, technical assessments, design approvals, complex troubleshooting, and root-cause analysis.
  • Drive adoption of advanced capabilities including Agentic Automation, AI Agents, Intelligent Document Processing, Process Mining, and Generative AI.
  • Provide the Manager with technical estimates, skill requirements, capacity needs, risks, and dependencies for portfolio planning.
  • Present solution recommendations, technical risks, delivery status, and tradeoffs to business and technology leaders.
  • Develop engineers through coaching, technical feedback, knowledge sharing, and leadership opportunities.

Required Skills:
  • Proven experience designing and delivering large-scale enterprise automation ecosystems.
  • Experience owning solution architecture, engineering standards, delivery lifecycle, and production support.
  • Experience defining technical skills, effort, architecture, and delivery plans for multiple initiatives.
  • Strong technical leadership, executive communication, stakeholder management, and decision-making skills.
  • Ability and willingness to work onsite in Vizient's Irving, Texas office.
  • Enterprise Intelligent Automation: UiPath, Microsoft Power Platform, enterprise RPA platforms.
  • AI-Enabled Automation: Agentic AI, AI Agents, LLMs, Prompt Engineering, Intelligent Document Processing, Process Mining.
  • Solution Architecture & Integration: Enterprise architecture, API integration, event-driven patterns, Python, C, .NET, SQL.
  • Cloud & Engineering Platforms: Microsoft Azure, Azure OpenAI, Azure DevOps, Git, CI/CD, cloud-native services.
  • Engineering Lifecycle & Operations: SDLC, Agile, DevSecOps, observability, production readiness, incident management, root-cause analysis.

Qualifications:
  • Relevant degree preferred.
  • 12+ years of software engineering, enterprise automation, or platform engineering experience.
  • 8+ years of enterprise UiPath engineering experience.
  • 5+ years leading technical teams or complex enterprise automation initiatives.

Preferred Skills:
  • UiPath Solution Architect or Advanced Developer certifications.
  • Experience leading enterprise Automation Centers of Excellence or large automation programs.
  • Experience presenting architecture and delivery recommendations to senior leadership.
  • Healthcare or other regulated industry experience.

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