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Tier-1 brand, metro locations, mid-level experience, and broad GenAI requirements drive high applicant competition.
Requires specialized GenAI, LLM, and enterprise-cloud experience, so background fit sensitivity is high.
Explicit years, mandatory GenAI/LLM deployment experience, and specific platform skills increase shortlisting strictness.
Lead delivery, deployment, and implementation of Gemini Enterprise solutions using Agent Development Kits to resolve complex enterprise technical challenges.
Serve as a trusted technical advisor to strategic customers to define AI strategies and accelerate Gemini Enterprise adoption.
Provide architectural guidance, collaborate with engineering teams to address product gaps, and deliver tailored technical presentations to stakeholders including C-level executives.
Bachelor's degree in Computer Science or related technical field, or equivalent practical experience.
Minimum 3 years of experience in software engineering, cloud architecture, or technical consulting, including 2 years building and deploying GenAI applications or LLM-powered solutions in production.
Experience with Python and AI application architecture including API design, microservices, and integration of AI models in enterprise software.
Preferred work locations: Hyderabad, Bengaluru, Gurugram, or Pune, India.
Experienced in deploying and managing enterprise-grade generative AI platforms, with familiarity in AI security, LLM governance, and enterprise compliance.
Skilled at leading technical project deployments and collaborating with engineering teams on large-scale cloud transformations.
Strong background in scalable RAG architectures and integrating LLMs with external productivity tools and complex enterprise databases.