Required Qualifications

Education

- Bachelor's or Master's degree in Engineering, Computer Science, Data Science, Information Systems, Supply Chain, Operations Management, or a related field.

Experience

- 5+ years of experience in Process Engineering, Automation, Digital Transformation, or Operations Excellence.

- 3+ years of experience in AI/ML, Generative AI, Agentic AI, or intelligent automation solutions.

- Experience in Supply Chain, Manufacturing, Logistics, Operations, or Enterprise Transformation programs preferred.

- Proven track record of delivering AI-enabled business outcomes at scale.

Technical Skills

AI & Agentic Technologies

- Generative AI and Large Language Models (LLMs)

- Agentic AI frameworks (AutoGen, Microsoft Agent Framework, CrewAI, LangGraph, Google ADK, etc.)

- Prompt Engineering and AI Evaluation Frameworks

- Retrieval-Augmented Generation (RAG)

- Vector Databases and Embedding Models

Development & Integration

- Python and API Integration

- AI Orchestration Platforms

- Data Pipelines and Workflow Automation

- Enterprise System Integration (ERP, SCM, CRM)

Observability & Analytics

- AI Telemetry and Monitoring

- Power BI, Tableau, or equivalent analytics platforms

- Performance optimization and operational dashboards

Tools

- Jira, Azure DevOps, Confluence

- Azure AI Services, OpenAI, Amazon Bedrock,



or similar AI platforms

- Cloud platforms (Azure, AWS, GCP)

Preferred Certifications

- Generative AI or AI/ML Certifications

- Lean Six Sigma Green Belt or Black Belt

- APICS / Supply Chain Certifications

- Cloud Certifications (Azure, AWS, Google Cloud)

- Process Automation or Digital Transformation Certifications

Key Competencies

- Systems Thinking and Structured Problem Solving

- Solid Analytical and Critical Thinking Skills

- Process Re-engineering and Continuous Improvement Mindset

- Stakeholder Management and Executive Communication

- Business Process Transformation

- AI Strategy and Innovation Leadership

- Cross-functional Collaboration and Change Managemen

Success Metrics

- Increased AI adoption and automation across business processes

- Improvement in agent accuracy, reliability, and task completion rates

- Reduction in manual effort and process cycle times

- Enhanced supply chain and operational performance metrics

- Improved AI governance, observability, and compliance adherence

- Increased retrieval accuracy and response quality in RAG implementations

- Optimized AI operating costs and platform efficiency

- Measurable business value through AI-enabled transformation initiatives

📌 AI Process Catalyst (Bengaluru)
🏢 Ascendion
📍 Bengaluru