AI Native Software Engineer

Project Role :

Project Role Description :

Build and ship production-ready software using AI as a core part of the engineering lifecycle. Apply AI-native practices to develop and validate solutions, maintain quality and compliance, and continuously improve how software is built and operated.

Must have skills :

Java Full Stack Development

Good to have skills :

Minimum

year(s) of experience is required

Educational Qualification :

15 years full time education

Summary:

AI POWERED TECH TALENT

Role Summary

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 12 years of experience in Java Full Stack Development.

- This position is based at our Hyderabad office.

- 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.

Summary

Build and ship production-ready enterprise full-stack software using AI-native practices, AgentAI copilots, and pre-built AI services. Requires at least 12 years of Java full-stack development experience, solid enterprise engineering and SDLC knowledge, and practical understanding of RAG and LLM limitations.

Responsibilities

Define end-to-end architecture for full-stack enterprise applications integrating AgentAI copilots, pre-built AI services, and APIs; use AgentAI tools and LLM-based copilots for coding, testing, debugging, documentation, and design acceleration; architect scalable front-end and back-end solutions; act as liaison between traditional engineering teams and AI-native squads; maintain architectural integrity, scalability, reliability, and responsible AI guardrails.

Qualifications

Solid foundation in enterprise engineering, SDLC, and domain/industry workflows; demonstrated capability using copilots and LLM tools; practical understanding of AI concepts like RAG and LLM limitations; ability to deliver faster, higher-quality outcomes combining human judgment with AI-assisted productivity.