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Senior, niche GenAI and GCP expertise with leadership reduces candidate pool to medium competition.
Role requires specialized GenAI, Vertex AI, conversational design, and GCP skills, limiting industry transferability.
Multiple mandatory requirements including 9+ years, leadership, GCP cert, and ML stack enforce high strictness.
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Lead solution architecture and senior engineering for complex AI/GenAI initiatives, including design and implementation of Vertex AI, Gemini models, Dialogflow CX/ES solutions.
Manage end-to-end lifecycle, delivery quality, and engineering standards of chatbots, voice bots, and AI-driven customer engagement use cases on Google Cloud Platform.
Lead and mentor a cross-functional engineering team; own resource planning, capacity management, cost optimization, security, and stakeholder alignment.
Bachelor’s degree in Computer Science, IT, Engineering, or related field.
9+ years technical experience, including 2+ years in leadership and 2+ years with Google Cloud Platform in production applications.
Certification: Google Cloud Platform Professional Cloud Architect.
Technical expertise with LLMs (Gemini or equivalent), prompt engineering, API-led microservices, full stack development, conversational AI, and AI-driven customer service delivery at scale.
Experienced leader balancing hands-on technical contribution with strategic oversight in complex, multi-system, AI/Cloud integrations.
Deep domain expertise in AI/GenAI, conversational design, and cloud-native solution architectures, specifically on Google Cloud Platform.
Proven ability to manage and deliver AI and conversational bot solutions in Agile environments while optimizing cost, quality, and security.