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Tier-1 brand, metro location, mid-level generalist title, and broad AI/RPA skillset amplify competition.
GenAI and RPA skills are technical yet transferable across industries, moderate domain specificity.
Requires 4+ years plus RPA, GenAI/LLM integration and platform experience, raising screening strictness.
Design, build, and deploy end-to-end intelligent automation solutions integrating RPA, workflow platforms, Generative AI, and Agentic AI technologies across cloud-agnostic environments.
Lead moderately complex initiatives, provide technical guidance, resolve issues, and collaborate to meet existing and potential client needs.
Design, code, test, deploy, and document projects with focus on automation lifecycle and AI integration, including acting as escalation point for technical challenges.
4+ years of Software Engineering experience or equivalent.
Strong hands-on experience with Intelligent Automation and RPA tools (UiPath or equivalent).
Experience integrating AI-driven solutions using Python or equivalent languages and working with LLM platforms (Google Vertex AI, Azure OpenAI, AWS Bedrock, or equivalent).
Experience with low-code/no-code solutions using Microsoft Power Platform (Power Apps, Power Automate, Power BI).
Experienced in AI-driven automation projects combining RPA, Generative AI, and Agentic AI technologies in cloud-agnostic environments.
Proficient in end-to-end automation lifecycle and modern AI frameworks like LangChain, LangGraph, Google ADK, or Semantic Kernel.
Strong software engineering fundamentals including AI/LLMOps, version control, CI/CD, secure coding, and ability to design scalable, maintainable enterprise solutions.