Custom Software Engineer

8126 ASOL- Hyderabad 3 SEZ Company; Hyderabad; On-site; INR 3,000,000 - 4,200,000; Full time

Job summary

Accenture is pursuing a Custom Software Engineer to design and deliver enterprise-grade, full‑stack solutions leveraging AgentAI tools. You will bridge traditional engineering with AI‑native teams to accelerate development and scale products.

The role emphasizes defining architecture, integrating AI services, and ensuring security and performance while promoting responsible AI use across the SDLC. Strong Java full‑stack experience is essential.

Qualifications

• Minimum 12 years of Java full‑stack development experience.
• 15 years of full‑time education required.
• Solid SDLC and enterprise architecture knowledge.
• Experience with AI-assisted development tools is a plus.

Responsibilities

• Define end-to-end architecture for full-stack enterprise applications.
• Integrate AgentAI copilots and AI services into systems.
• Design scalable front-end and back-end using modern frameworks.
• Collaborate with AI-native squads to drive adoption.
• Ensure governance, quality, and compliant AI usage.

Skills

Java Full Stack Development

Spring Boot

React/Angular/Vue.js

API integration (REST/GraphQL)

Cloud-native (Azure/AWS/GCP)

Education

15 years full time education

Tools

Docker

Kubernetes

SQL/NoSQL

Azure/AWS/GCP tooling

Job description

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 12 year(s) of experience is required Educational Qualification: 15 years full time education.

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.

Key Responsibilities

• Solution Architecture: Define end-to-end architecture for full-stack enterprise applications integrating AgentAI copilots, pre-built AI services, and APIs. Ensure compliance with SDLC, security, and performance standards while embedding AI-assisted workflows.
• AI Integration: Use AgentAI tools and LLM-based copilots for coding, testing, debugging, documentation, and design acceleration. Incorporate AI services (e.g., RAG-based retrieval, conversational APIs) into enterprise systems.
• Full-Stack Design: Architect scalable front-end and back-end solutions using modern frameworks and cloud-native patterns. Optimize API design, data flows, and UI/UX for AI-assisted features.
• Collaboration: Act as a liaison between traditional engineering teams and AI-native squads drive adoption of AI-assisted development practices.
• Governance & Quality: 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):
  • Java (Spring Boot) – microservices, API integration
  • .NET (C#) – enterprise application frameworks
  • Python – scripting, automation, AI API integration
• Frontend:
  • React / Angular / Vue.js – responsive UI development
  • 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.
• 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

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