Project Role : Custom Application Architect Project Role Description : Provide functional and/or technical expertise to plan, analyze, define and support the delivery of future functional and technical capabilities for an application or group of applications. Assist in facilitating impact assessment efforts and in producing and reviewing estimates for client work requests.

Must have skills : Google Cloud Platform Architecture Good to have skills : Google BigQuery, Python (Programming Language) Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary As a GenAI & Agent Engineering Team Lead, you will be responsible for developing applications and systems that utilize Generative AI, Agentic patterns, and Google Cloud AI services. Your typical day will involve applying Google Agent Development Kit (ADK), Gemini models, and RAG-based retrieval to build intelligent, scalable, and production-ready AI agents. This role is highly hands-on, with responsibility for guiding a small team, reviewing technical implementations, and ensuring high-quality delivery of agent-based solutions.

Roles &

Responsibilities Design and develop agent-based GenAI applications and systems using Google ADK Implement AI agents and agent workflows, including task-based agents, tool-enabled agents, and basic multi-agent interactions Develop and integrate RAG pipelines, including data ingestion, chunking, embedding generation,



and context retrieval Assist in Graph RAG components using knowledge graphs under architect guidance Apply Gemini and Vertex AI models as part of GenAI solutions Work with Vertex AI Machine Learning services for embeddings, inference, and evaluation Integrate agents with enterprise systems, APIs, and tools Apply prompt engineering techniques to improve accuracy and grounding Implement basic agent observability, including logs and execution traces Ensure secure and reliable agent execution aligned to defined patterns Document technical designs, agent flows, and integrations Guide and review work of junior engineers, ensuring coding and prompt quality Professional & Technical Skills Must Have Skills Hands-on experience with Google Agent Development Kit (ADK) Strong understanding of Generative AI and Gemini models Experience with RAG architectures and chunking strategies Working knowledge of Vertex AI Machine Learning services Prompt engineering and agent workflow design Robust programming skills in Python (or Node.js) Experience building production-quality cloud applications Good To Have Skills Understanding of Graph RAG or knowledge graph concepts Familiarity with multi-agent or A2A concepts Cloud data architecture on Google Cloud Google Cloud certifications (ML / Architect) Additional Information 7+ years of relevant experience Proficient in Google Cloud Machine Learning Services, GenAI, and agent-based development Strong foundation in computer science, AI/ML, or related fields

📌 Custom Application Architect (Hyderabad)
🏢 Accenture in India
📍 Hyderabad