Manager - AI Automation Development

Description -

Job Summary

Responsibilities

• Defines the AI and RPA roadmap, prioritizing opportunities based on business value and technical feasibility.
• Leads and mentors engineers delivering AI applications, intelligent agents, RPA bots, and automation workflows.
• Provides technical direction on programming, solution design, code reviews, and troubleshooting.
• Oversees integration with enterprise applications, APIs, and data sources.
• Guides cloud deployment and infrastructure decisions covering scalability, availability, security, and cost.
• Establishes standards for testing, AI evaluation, CI/CD, monitoring, and production support.
• Collaborates with business, IT, security, and operations teams to manage requirements, governance, and adoption.
• Monitors solution performance and business outcomes to drive continuous improvement.
Manages recruitment, performance, coaching, and career development.

Education & Experience Recommended

• Degree in Computer Science, Engineering, Information Systems, or a related discipline, or equivalent practical experience.
• Typically has 7–10 years of relevant experience in software development, AI, RPA, or enterprise automation.
• Hands-on experience in programming, cloud platforms, and application infrastructure, including delivery and support of production solutions.
People management experience, including team development and performance management, is preferred.

Preferred Certifications

• Cloud, AI, RPA Platform, Solution Architecture, or DevOps Certification
Programming Language Certification

Knowledge & Skills

• Generative AI, Large Language Models, and Agentic Workflows
• Robotic Process Automation and Workflow Orchestration
• Python, Java, C#, or Comparable Programming Languages
• APIs, Enterprise Integration, and Databases
• Microsoft Azure, Amazon Web Services, or Google Cloud
• Infrastructure, Networking, Identity, and Access Management
• Containers, CI/CD, and Infrastructure as Code
• Software Architecture, Testing, and Monitoring
• Business Process Analysis and Optimization
AI Evaluation, Security, and Data Governance

Cross-Org Skills

• Customer Centricity
• Strategic Thinking and Prioritization
• People Management and Team Development
• Stakeholder Management
• Cross-Functional Collaboration
Change Management and Resilience

Impact & Scope

Complexity

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Equal Opportunity Employer (EEO) -

HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “ Know Your Rights: Workplace Discrimination is Illegal "