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Tier-1 brand and Bangalore location increase competition, but specialized GenAI/RPA skills limit candidate pool.
ML/GenAI and RPA domain expertise moderately limits transferability across industries.
Explicit 7-10 years plus specialized GenAI, LLM, and RPA requirements enforce strict filtering.
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Design and develop Agentic AI systems leveraging LLMs and multi-agent frameworks to enable autonomous decision-making and task execution.
Build scalable automation solutions integrating with enterprise tools (e.g., JIRA, SharePoint, ServiceNow) to improve operational efficiency.
Lead full lifecycle of AI and automation projects, from concept and POC to deployment and optimization, while identifying high-value opportunities through collaboration with stakeholders.
Strong programming skills in Python; experience with JavaScript/TypeScript or other languages is a plus.
Hands-on development experience with GenAI/LLM applications and agent frameworks such as LangChain, OpenAI Agents, or AutoGen.
Experience building automation workflows using RPA tools, scripting, or custom logic, including integration with enterprise systems via APIs and cloud platforms.
Work Experience Required: Typically 7-10 years in programming, agile development, or related fields; Bachelor's or Graduate Degree in Computer Science, Mathematics, Statistics, or related disciplines or equivalent experience.
Proven ability to architect and deliver complex AI-driven automation projects impacting multiple functions or cross-functional teams.
Experience leading discovery workshops or assessments to identify AI and automation opportunities strategically.
Strong familiarity with agile methodology and cloud platforms, with a focus on scalability and integration of AI solutions in enterprise environments.