Custom Software Engineer
Summary
Builds and configures AI agents and GenAI applications using Google Cloud’s Agent Development Kit, Gemini models, and RAG pipelines for enterprise systems.
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 fields15 years full time education
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 fields15 years full time education
About Accenture
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
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.