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Key skills for this role
The AI Engineer will be responsible for designing, building, and deploying Agentic AI solutions using Google ADK, LangGraph/Langchain and Agent Engine on GCP. This role requires deep expertise in GenAI, hands-on experience with Vertex AI, and strong knowledge of GCP services such as Cloud Run, ECS, and Vertex AI Search Engine. The engineer will collaborate with cross-functional teams to deliver AI-driven solutions that align with enterprise architecture and business objectives.
The AI Engineer will be responsible for designing, building, and deploying Agentic AI solutions using Google ADK, LangGraph/Langchain and Agent Engine on GCP. This role requires deep expertise in GenAI, hands-on experience with Vertex AI, and strong knowledge of GCP services such as Cloud Run, ECS, and Vertex AI Search Engine. The engineer will collaborate with cross-functional teams to deliver AI-driven solutions that align with enterprise architecture and business objectives.
Design and implement Agentic AI solutions using Google ADK, LangGraph/Langchain and Agent Engine.
Build and deploy AI models leveraging Vertex AI capabilities (e.g., Model Garden, AutoML, Generative AI APIs).
Integrate AI agents with enterprise applications and workflows for automation and decision-making.
Develop scalable and secure AI services using Cloud Run, ECS, and other GCP components.
Optimize AI pipelines for performance, cost efficiency, and reliability.
Innovation and Strategy
Drive adoption of GenAI and Agentic AI frameworks across business units.
Conduct proof-of-concepts (POCs) for emerging AI technologies and frameworks.
Collaborate with enterprise architects to ensure AI solutions align with technology strategy and reference architectures.
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Senior · 2+ years experience
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