BranchFactor Summary

The original posting with the fluff stripped out

Compensation

No salary listed for this role.

Role speciality

Agentic AIHyperautomationProcess Excellence

Useful technologies

AutoGenAzure FunctionsAzure Logic AppsAzure MLAzure OpenAI ServiceCrewAIDockerGitLangChainLangGraphN8NPower AutomatePythonZapier

Original posting

Hyper automation Development (60%):

Build and deploy agentic AI solutions using frameworks like LangGraph, AutoGen, CrewAI, or similar orchestration platforms
Design and implement multi-agent workflows that automate end-to-end business processes (e.g., document processing, decision automation, intelligent routing)
Develop integration pipelines connecting AI agents with enterprise systems (APIs, databases, RPA tools, business applications)
Create automation workflows using Azure Logic Apps, Power Automate, or custom orchestration engines
Implement monitoring, error handling, and fallback mechanisms for production automation workflows
Write clean, maintainable Python code with proper testing and documentation
Build CI/CD pipelines for automated deployment of AI agents and workflows

Process Excellence & Program Coordination (40%):

Map existing business processes and identify hyper automation opportunities with measurable ROI
Lead process discovery sessions with business stakeholders to document current-state workflows
Design future-state automated processes with clear handoffs between human and AI agents
Coordinate sprint planning, backlog grooming, and delivery timelines for automation projects
Track project dependencies, risks, and blockers—escalating and resolving issues proactively
Maintain project documentation including technical specs, process maps, and deployment runbooks
Prepare status updates, demos, and executive briefings on automation program progress
Collaborate with business analysts, IT teams, and process owners to ensure smooth adoption

What you bring -

Required Technical Skills:

3-5 years of hands-on development experience with Python (professional or substantial project work)
Practical knowledge of agentic AI frameworks (LangGraph, LangChain, AutoGen, CrewAI, or similar)
Experience building LLM-based applications or multi-step AI workflows
Familiarity with Azure cloud services (Azure ML, Functions, Logic Apps, or OpenAI Service)
Understanding of API integration, webhooks, and event-driven architectures
Working knowledge of Docker, Git, and CI/CD concepts
Experience with process automation tools (Power Automate, n8n, Zapier, or RPA platforms is a plus)