Accenture India Private Limited
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Coimbatore · On-site · 5-8 Yrs · Aug 18
Business consulting · 10000+ Employees · Dublin, Ireland
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 accenture.com.
What employees say
+ Good atmosphere and will be a great experience in learning
− No Hike since past 2 years Mgmt says client rules but HR says No early release.
More reviews on the company profile.
Interview experience · Engineer
Accenture interview process was pathetic. The interviewer who scheduled call dint attend the call itself. Additionally, the interview process was multiple rounds which was time consuming and no results declared
Average difficulty · India · 19,414 reports
More interview insightsJob description
Overview
AI POWERED TECH TALENT. Seeking a forward-thinking professional with an AI-first mindset to design, develop, and deploy enterprise-grade solutions using Generative and Agentic AI frameworks that drive innovation, efficiency, and business transformation.
Responsibilities
- Lead AI-driven solution design and delivery by applying GenAI and Agentic AI to address complex business challenges, automate processes, and integrate intelligent insights into enterprise workflows for measurable impact.
- Actively develop, test, and deploy application-heavy solutions, write clean, efficient code in any of the programming languages like .NET Core (C#, ASP.NET), and Python for backend systems, and contributing to front-end development using React or Angular.
- Partner with senior architects to design scalable, cloud-native application architectures, focusing on performance, maintainability, and integration in multi-cloud environments.
- Build and maintain integrations using APIs, microservices, and event-driven patterns (e.g., REST, GraphQL, Kafka, or message queues).
- Develop and deploy applications across AWS, Azure, and Google Cloud, ensuring portability and optimization for cost and performance.
- Implement practical AI features (e.g., automation, basic analytics) using cloud-based AI services or frameworks like TensorFlow or PyTorch.
- Collaborate with DevOps teams to implement containerized solutions (Docker, Kubernetes) and CI/CD pipelines, with hands-on use of IaC tools like Terraform or BiCep.
- Ensure applications meet performance and security standards through code reviews, testing, and adherence to best practices.
- Work closely with developers, product managers, and infrastructure teams to translate requirements into technical implementations, providing hands-on support and mentorship.
- Stay updated on full-stack development trends, cloud technologies, and AI advancements to contribute to innovative solutions.
Qualifications
- 5 to 12 years of hands-on experience in full-stack development
- Demonstrated experience building and deploying solutions in multi-cloud environments (AWS, Azure, Google Cloud)
- Strong proficiency in .NET, and Python for backend development
- Hands-on experience with front-end frameworks like React, Angular, or similar
- Basic exposure to AI/ML integration, such as using cloud AI services (e.g., Azure Open AI, Azure Foundry, AWS SageMaker,) or simple ML frameworks
- Practical experience with integration patterns (e.g., REST APIs, message queues) and microservices architecture
- Familiarity with infrastructure tools like Docker, Kubernetes, and IaC (e.g., Terraform, BiCep)
- Experience with cloud-native services (e.g., Azure Functions, LogicApps, ServiceBus etc.)
- Working knowledge of DevOps practices, including CI/CD pipelines and monitoring tools
- Understanding of secure coding practices and basic enterprise security standards (e.g., IAM, encryption)
Nice to have
- Certifications like Azure Developer Associate, Azure AI Fundamentals or similar are a plus
Education
- Bachelor s degree in computer science, Engineering, or a related field
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