Design and deliver enterprise-grade full-stack software solutions using Java and modern frameworks. Define scalable architectures, integrate AgentAI tools, LLM copilots, RAG, conversational APIs, and cloud-native services, and optimize APIs, data flows, and user interfaces. Ensure SDLC, security, performance, reliability, and responsible AI governance standards. Collaborate with traditional engineering and AI-native teams to accelerate development through AI-assisted coding, testing, debugging, documentation, and design.
Project Role : Custom Software Engineer
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : Java Full Stack Development
Good to have skills : NA
Minimum 15 year(s) of experience is required
Educational Qualification : 15 years full time education
Position Title: Full Stack Enterprise Architect
Role Summary
AI POWERED TECH TALENT
Design and deliver enterprise-grade, full-stack solutions leveraging AgentAI tools for accelerated development. Act as a bridge between traditional engineering teams and AI-native specialists, enabling productivity uplift and scalability without deep ML model training or MLOps ownership.AI Powered Tech Talent
Key Responsibilities
Solution Architecture
o Define end-to-end architecture for full-stack enterprise applications integrating AgentAI copilots, pre-built AI services, and APIs.
o Ensure compliance with SDLC, security, and performance standards while embedding AI-assisted workflows.
AI Integration
o Use AgentAI tools and LLM-based copilots for coding, testing, debugging, documentation, and design acceleration.
o Incorporate AI services (e.g., RAG-based retrieval, conversational APIs) into enterprise systems.
Full-Stack Design
o Architect scalable front-end and back-end solutions using modern frameworks and cloud-native patterns.
o Optimize API design, data flows, and UI/UX for AI-assisted features.
Collaboration
o Act as a liaison between traditional engineering teams and AI-native squads drive adoption of AI-assisted development practices.
Governance & Quality
o Maintain architectural integrity, scalability, and reliability enforce responsible AI usage and guardrails.
Must-Have Qualifications
Solid foundation in enterprise engineering, SDLC, and domain/industry workflows.
Demonstrated capability in using copilots and LLM tools for software development tasks.
Practical understanding of AI concepts like RAG and limitations of LLMs.
Ability to deliver faster, higher-quality outcomes by combining human judgment with AI-assisted productivity.
Does not train models or design ML architectures focuses on integration and productivity uplift.
Programming & Full-Stack Skills
Backend (Any 1 or more):
o Java (Spring Boot) – microservices, API integration
o .NET (C#) – enterprise application frameworks
o Python – scripting, automation, AI API integration
Frontend:
o React / Angular / Vue.js – responsive UI development
o TypeScript / JavaScript – modern front-end engineering
Additional: SQL/NoSQL, REST/GraphQL APIs, cloud-native skills (Azure/AWS/GCP), containerization (Docker/Kubernetes), CI/CD pipelines.
Additional Information:
- The candidate should have minimum 15 years of experience in Java Full Stack Development.
- A 15 years full time education is required.15 years full time education
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : Java Full Stack Development
Good to have skills : NA
Minimum 15 year(s) of experience is required
Educational Qualification : 15 years full time education
Position Title: Full Stack Enterprise Architect
Role Summary
AI POWERED TECH TALENT
Design and deliver enterprise-grade, full-stack solutions leveraging AgentAI tools for accelerated development. Act as a bridge between traditional engineering teams and AI-native specialists, enabling productivity uplift and scalability without deep ML model training or MLOps ownership.AI Powered Tech Talent
Key Responsibilities
Solution Architecture
o Define end-to-end architecture for full-stack enterprise applications integrating AgentAI copilots, pre-built AI services, and APIs.
o Ensure compliance with SDLC, security, and performance standards while embedding AI-assisted workflows.
AI Integration
o Use AgentAI tools and LLM-based copilots for coding, testing, debugging, documentation, and design acceleration.
o Incorporate AI services (e.g., RAG-based retrieval, conversational APIs) into enterprise systems.
Full-Stack Design
o Architect scalable front-end and back-end solutions using modern frameworks and cloud-native patterns.
o Optimize API design, data flows, and UI/UX for AI-assisted features.
Collaboration
o Act as a liaison between traditional engineering teams and AI-native squads drive adoption of AI-assisted development practices.
Governance & Quality
o Maintain architectural integrity, scalability, and reliability enforce responsible AI usage and guardrails.
Must-Have Qualifications
Solid foundation in enterprise engineering, SDLC, and domain/industry workflows.
Demonstrated capability in using copilots and LLM tools for software development tasks.
Practical understanding of AI concepts like RAG and limitations of LLMs.
Ability to deliver faster, higher-quality outcomes by combining human judgment with AI-assisted productivity.
Does not train models or design ML architectures focuses on integration and productivity uplift.
Programming & Full-Stack Skills
Backend (Any 1 or more):
o Java (Spring Boot) – microservices, API integration
o .NET (C#) – enterprise application frameworks
o Python – scripting, automation, AI API integration
Frontend:
o React / Angular / Vue.js – responsive UI development
o TypeScript / JavaScript – modern front-end engineering
Additional: SQL/NoSQL, REST/GraphQL APIs, cloud-native skills (Azure/AWS/GCP), containerization (Docker/Kubernetes), CI/CD pipelines.
Additional Information:
- The candidate should have minimum 15 years of experience in Java Full Stack Development.
- A 15 years full time education is required.15 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.
Accenture Airoli, Mahārāshtra, IND Office
Airoli, India
Accenture Mumbai, Maharashtra, IND Office
Ganpatrao Kadam Marg, off Senapati Bapat Marg, Lower Parel West, Lower Parel, Mumbai, Maharashtra, India, 400013
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