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Mid-level AI role, metro Pune location, and popular AI title create moderate applicant competition.
Role requires specialized Google Cloud Vertex AI and agentic AI expertise, reducing easy cross-industry transferability.
Explicit years plus mandatory Vertex AI, Google ADK, multi-model and GCP experience drive strict shortlisting.
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Design, develop, test, and deploy autonomous and semi-autonomous AI agents using Google ADK, Vertex AI Agent Builder, and Google Cloud services to solve business challenges.
Own end-to-end AI project lifecycle on Google Cloud Platform including prototyping, production deployment, monitoring, and continuous improvement of AI solutions.
Collaborate closely with business stakeholders, QA, and cloud engineers to build scalable, reliable AI agents with responsible AI safeguards and measurable business impact.
3-5+ years' experience in software engineering, data science, or AI/ML solution delivery with demonstrated Google Cloud Platform expertise.
Hands-on experience with Google Vertex AI, Google ADK, Python programming, AI/ML fundamentals, and agentic AI patterns.
Bachelor's degree in Computer Science, Data Science, or related field, or equivalent practical experience.
Experience integrating AI or automation into enterprise SaaS platforms through REST APIs, webhooks, event streams, or middleware.
Experienced in forward deployed roles owning business outcomes, capable of scoping and delivering AI solutions rapidly in ambiguous environments.
Proficient with multi-model AI ecosystems including Google Gemini, Anthropic Claude, and OpenAI, making pragmatic model and framework choices.
Skilled in embedding AI solutions within enterprise systems and operational workflows, measuring impact in business terms, and implementing responsible AI and governance practices.