Custom Software Engineer

Project Role : Custom Software Engineer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Google Cloud Machine Learning Services Good to have skills : NA 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 Strong 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

15 years full time education

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Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com

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