Role Overview:
Drive enterprise-wide automation transformation by designing and implementing intelligent automation solutions that deliver measurable business value. Lead journeys from process discovery to production deployment, combining RPA, AI, and integration technologies to transform how we operate.
Key Responsibilities:
Automation Strategy & Delivery:
- Identify and prioritize automation opportunities across the organization.
- Design and implement end-to-end automation solutions from concept to production.
- Build hyper-automation solutions combining RPA, AI, and intelligent document processing.
- Ensure scalability, reliability, and ROI of all automation initiatives.
AI & Innovation:
- Deploy AI/ML solutions for knowledge work augmentation.
- Implement intelligent document processing for structured and unstructured data.
- Ensure proper governance, security, and compliance for AI implementations.
- Evaluate and pilot emerging automation technologies.
Integration & Operations:
- Design seamless integrations between automated processes and enterprise systems.
- Implement monitoring, logging, and performance optimization.
- Create reusable frameworks and components for rapid deployment.
- Manage vendor relationships and technology partnerships.
Leadership & Enablement:
- Discuss and define automation standards, best practices, and governance frameworks.
- Drive change management and stakeholder adoption.
- Enable and support leadership to drive the department’s workload.
- Measure and communicate automation value and benefits.
Required Qualifications
Experience:
3+ years in enterprise automation, RPA, or AI/ML implementations
Over 2 years of experience in designing and developing practical solutions using Agentic and Multi-Agent AI frameworks.
Proven track record of delivering production automation at scale
Experience establishing automation programs or CoEs
Demonstrated ability to deliver measurable business value (cost savings, efficiency gains)
Skills & Competencies
Strong technical background with hands-on implementation capability
Excellent stakeholder management and communication skills
Ability to translate business requirements into technical solutions
Strategic thinking balanced with practical execution
Change leadership and organizational influence
Education:
Bachelor's degree in computer science.
Relevant automation, cloud, or architecture certifications preferred.
Technology Stack:
RPA Platforms: Power Automate and UiPath
Workflow Orchestration: Power Automate, Camunda, Airflow, or similar
Low-Code / No-Code Application : PowerApps, Zoho Creator, or similar
Business Automation: Microsoft Power BI and Tableau
Voice Agents: VAPI, PolyAI, or similar
Programming Languages: Python, Bash or similar
AI & Machine Learning:
Frameworks such as PyTorch or TensorFlow or Hugging Face
LLM Platforms such as OpenAI, Azure OpenAI, or similar
Basic implementation and integration of AI/ML models
Integration & APIs:
REST, GraphQL, Webhooks
iPaaS tools such as Boomi to Workato, or similar
Databases: SQL, PL SQL and NoSQL fundamentals
Cloud Platforms: AWS, Azure, or similar
Containers: Docker, Kubernetes, or similar
CI/CD & Version Control: GitHub Actions
Testing: Unit and integration testing practices
Success Metrics
Automated processes delivered and adoption rates
Business value generated (cost reduction, efficiency improvement)
System reliability and performance
Stakeholder satisfaction and CoE (Center of Excellence) maturity