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Accenture

Advises businesses and runs their technology

AI Native Software Engineer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timePune, Maharashtra, IndiaNo salary listed

About the Job

Requirements

  • At least 7.5 years of experience in Java Full Stack Development.
  • Strong grasp of Generative AI, Agentic AI, prompt engineering, and AI evaluation frameworks.
  • Ability to align AI capabilities with business objectives while ensuring scalability, responsible use, and measurable value realization.
  • A strong background in applications, infrastructure, and integration, with hands-on experience in Java and/or .NET, and Python, plus exposure to modern front-end technologies such as React or Angular.
  • Understanding of AI and its integration into enterprise systems.
  • Proven experience leading cloud, DevOps, or AI modernization initiatives.
  • Strong understanding of large language models, automation, and engineering toolchains.
  • Ability to translate AI innovation into business and productivity impact.
  • Experience designing and deploying solutions in multi-cloud environments such as AWS, Azure, and Google Cloud.
  • Exposure to front-end technologies such as React, Angular, or similar frameworks.
  • Expertise in integration patterns such as REST, GraphQL, Kafka, and message queues, and in microservices architecture.
  • Exposure to big data technologies such as Hadoop and Spark, and data integration pipelines.
  • Knowledge of enterprise integration platforms such as MuleSoft, TIBCO, or Apache Camel.
  • Experience with containerization such as Docker and Kubernetes, serverless computing, and infrastructure as code tools such as Terraform and CloudFormation.
  • Understanding of DevOps practices, including CI/CD pipelines, monitoring, and logging tools.
  • Knowledge of enterprise security practices, including identity and access management, encryption, and compliance standards.
  • Bachelor's or master's degree in Computer Science, Engineering, or a related field.
  • Completion of 15 years of full-time education.

Responsibilities

  • 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.
  • Lead AI-driven solution design and delivery by applying Generative AI and Agentic AI to address complex business challenges, automate processes, and integrate intelligent insights into enterprise workflows.
  • Design end-to-end, application-heavy enterprise architectures integrating infrastructure, applications, data, and platforms across multi-cloud environments.
  • Lead the design and implementation of robust, scalable applications focused on full-stack development and aligned with business goals.
  • Architect 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 Java, .NET, and Python-based backend systems and modern front-end frameworks such as React or Angular.
  • Incorporate Generative AI and Agentic AI capabilities into enterprise applications, using frameworks and tools to enhance productivity and functionality.
  • Collaborate with infrastructure teams to design cloud-native solutions, including containerization, CI/CD pipelines, and infrastructure as code.
  • Ensure solutions are optimized for performance, scalability, and security and adhere to industry standards and best practices.
  • Work with product managers, developers, DevOps teams, and business stakeholders to translate requirements into technical solutions.
  • Stay current on AI advancements, cloud trends, and full-stack development practices to drive continuous improvement.

Desired Qualifications

  • Relevant certifications, such as AWS Solutions Architect, Azure Solutions Architect, TOGAF, or similar, are a plus.

About the Company

Accenture

Advises businesses and runs their technology

Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.

Company size
10,001+
Company stage
IPO
Headquarters
Dublin, Ireland
Founded
1989

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