Accenture India Private Limited
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Ahmedabad · On-site · 2-5 Yrs · Aug 20
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
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
- Design end-to-end, application-heavy enterprise architectures that integrate infrastructure, applications, data and platforms across multi-cloud environments
- Lead the design and implementation of robust, scalable applications with a focus on full-stack development, ensuring alignment with business goals
- Architect seamless integrations between systems, applications, and third-party services using APIs, microservices, and event-driven architectures
- Develop and implement strategies for deploying and managing applications across multiple cloud platforms, ensuring portability, scalability, and cost optimization
- Provide technical guidance on .NET and Python-based backend systems and modern front-end frameworks like React or Angular
- Incorporate GenAI/Agentic AI capabilities into enterprise applications, leveraging frameworks and tools to enhance productivity & functionality
- Collaborate with infrastructure teams to design cloud-native solutions including containerization (Docker, Kubernetes), CI/CD pipelines, and IaC (Terraform, Bicep)
- Ensure solutions are optimized for performance, scalability, and security, adhering to industry standards and best practices
- Work closely with product managers, developers, DevOps, and business stakeholders to translate requirements into technical solutions
- Stay updated on emerging technologies, including AI advancements, cloud trends, and full-stack development practices, to drive continuous improvement
Qualifications
- 12 to 20+ years of experience in enterprise architecture, with at least 3 to 5 years in a full-stack architect role focusing on application-heavy solutions
- Proven track record of designing and deploying solutions in multi-cloud environments (AWS, Azure, Google Cloud)
- Hands-on experience with .NET Core, ASP.Net and Python for backend development
- Exposure to front-end technologies such as React, Angular, or similar frameworks
- Strong understanding of AI concepts and their application in enterprise systems
- Expertise in integration patterns (e.g., REST, Azure Integration Services, GraphQL, Kafka, message queues) and microservices architecture
- Exposure to big data technologies (e.g., Fabrics, Hadoop, Spark) and data integration pipelines
- Experience with infrastructure components such as containerization (Docker, Kubernetes), serverless computing, and IaC tools (Terraform, Bicep)
- Understanding of DevOps practices, including CI/CD pipelines, monitoring, and logging tools
- Knowledge of enterprise security practices, including IAM, encryption, and compliance standards
Nice to have
- Experience with event-tech solutions and platforms
- Bachelor's degree in Computer Science, Information Technology, or related field
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