Manager - AI Automation Development

Job Summary:

This role is responsible for leading AI and RPA initiatives and driving the strategic implementation of automation solutions across the organization. It combines programming, cloud, and infrastructure expertise with strong leadership to oversee the design, development, and deployment of intelligent automation solutions and robotic processes that optimize business operations and enhance efficiency. The role leads a team of AI and RPA engineers and developers, collaborates with stakeholders, and implements automation best practices to achieve business objectives.

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:

Leads AI and RPA initiatives across business functions, improving productivity, service quality, and operational performance.

Complexity:

Applies managerial and technical judgment to balance business requirements, AI capabilities, enterprise integrations, and infrastructure constraints.

Disclaimer:

This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

Skills

AI, AWS, Automation, Azure, C#, GCP, Java, Python, RPA