Engineer, AI Process Intelligence
INR 3584K-5000K (estimate) Senior-level Full Time
Tasks
- Build AI agent networks
- Capture and share solution artifacts learnings and best practices
- Collaborate with process architects on business rules
- Communicate project status risks dependencies and value
- Conduct functional testing accuracy benchmarking and edge case analysis
- Conduct user acceptance testing
- Define and track KPIs
- Deploy AI solutions to production
- Design develop and deploy AI agents
- Develop agentic workflows
- Ensure AI governance data privacy and security compliance
- Gather requirements validate solutions and drive adoption
- Implement robotic process automation workflows
- Ingest documents and requirements into AI platform
- Integrate AI and automation with enterprise systems
- Integrate predictive models into workflows
- Maintain technical documentation and deployment guides
- Manage AI project portfolio documentation
- Mentor junior team members
- Monitor production performance and implement improvements
- Perform change management training and go live support
- Prototype emerging AI technologies
- Troubleshoot and resolve deployed solution issues
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agent | APIs | Acceptance Testing | Agile | Copilot Studio | Data Engineering | Data Pipelines | DevOps | Enterprise System | Enterprise system integration | IATF 16949 | ISO 9001 | Key Performance Indicators | Langchain | Langgraph | Machine Learning | Microsoft 365 | Microsoft Copilot | Microsoft Copilot Studio | Model Deployment | OpenAI APIs | Performance Monitoring | Performance indicators | Power Automate | Process Automation | Python | Robotic Process | Robotic Process Automation | SAP | Salesforce | ServiceNow | System Integration | Teamcenter | Testing | UiPath | User Acceptance | User Acceptance Testing
Education
Roles
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