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Niche Agentic GenAI specialization reduces candidate density despite Bengaluru metro talent pool.
Core GenAI and cloud skills transfer across industries, but contact-center and SAP integrations increase domain specificity.
Multiple explicit years requirements and specific GenAI, cloud, and enterprise integration skills make screening strict.
Lead architecture, design, and development of enterprise-scale Agentic AI solutions across multiple digital channels.
Build and deploy intelligent AI agents and autonomous workflows on AWS and Azure to transform customer and business operations through automation and AI-driven decision making.
Integrate AI agents with enterprise platforms (e.g., Salesforce, SAP, Genesys) and establish governance, monitoring, and responsible AI practices.
Bachelor's or Master's degree in Computer Science, AI, Engineering, or related field.
7+ years of software engineering experience, including 3+ years building GenAI and Agentic AI solutions.
Strong Python and cloud platform skills (AWS and/or Azure) with experience in AI frameworks (Amazon Bedrock, Azure OpenAI, LangChain, etc.), vector databases, RAG, microservices, and enterprise integrations.
Work hours: 1 PM to 10 PM IST; relocation assistance available.
Experienced in cloud-native AI solution development with a focus on Agentic AI and large language models.
Capable of leading technical design reviews and mentoring AI engineering teams in a complex enterprise environment.
Familiarity with Voice AI, Contact Center AI, Conversational AI, and platforms like Genesys, Salesforce, and SAP preferred.