AI Native Software Engineer
Accenture
- Location
- Onsite (Chennai, Tamil Nadu)
- Employment
- Full-time
- Level
- Senior Level
Posted 3 days ago
About the role
Accenture seeks an AI Native Software Engineer to design and deploy enterprise-grade solutions using Generative and Agentic AI. The role focuses on building scalable, cloud-native applications in multi-cloud environments to drive business transformation and innovation.
Skills
.Net Core
Python
React
Angular
Generative AI
Agentic AI
Prompt Engineering
Cloud Computing
AWS
Azure
Google Cloud
Microservices
Docker
Kubernetes
CI/CD
Terraform
Full job details
Project Role : AI Native Software Engineer
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 : .Net Full Stack Development
Good to have skills : NA
Minimum 2 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary: 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.AI Powered Tech Talent.
Roles & 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.
Professional & Technical Skills: Strong grasp of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks. Ability to align AI capabilities with business objectives while ensuring scalability, responsible use, and tangible value realization.
We are seeking a dynamic Mid-Level Application Architects / Senior Developers with a strong focus on hands-on development and practical solution design. The ideal candidate will have robust experience in .NET Core, MVC, and Python, with working knowledge of front-end technologies like React or Angular, and a foundational understanding of AI integration. This role emphasizes active coding, solution implementation, and collaboration across application development, infrastructure, and integration in multi-cloud environments (AWS, Azure, Google Cloud) to deliver scalable, secure enterprise applications.
Key Responsibilities:
Hands-On Coding: 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.
Solution Design: Partner with senior architects to design scalable, cloud-native application architectures, focusing on performance, maintainability, and integration in multi-cloud environments.
Integration Development: Build and maintain integrations using APIs, microservices, and event-driven patterns (e.g., REST, GraphQL, Kafka, or message queues).
Multi-Cloud Implementation: Develop and deploy applications across AWS, Azure, and Google Cloud, ensuring portability and optimization for cost and performance.
AI Integration: Implement practical AI features (e.g., automation, basic analytics) using cloud-based AI services or frameworks like TensorFlow or PyTorch.
Infrastructure Support: 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.
Performance & Security Optimization: Ensure applications meet performance and security standards through code reviews, testing, and adherence to best practices.
Team Collaboration: Work closely with developers, product managers, and infrastructure teams to translate requirements into technical implementations, providing hands-on support and mentorship.
Continuous Learning: Stay updated on full-stack development trends, cloud technologies, and AI advancements to contribute to innovative solutions.
Qualifications & Skills:
Experience: 5 to 12 years of hands-on experience in full-stack development, with at least 2 years in a lead developer or junior architect role focusing on application-heavy systems.
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).
Soft Skills:
Strong debugging and problem-solving skills with a hands-on mindset.
Clear communication to collaborate with technical and non-technical stakeholders.
Ability to juggle hands-on coding with architectural design contributions.
Eagerness to learn and adapt to new tools, frameworks, and cloud technologies.
Education:
Bachelor s degree in computer science, Engineering, or a related field.
Certifications like Azure Developer Associate, Azure AI Fundamentals or similar are a plus.15 years full time education
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 : .Net Full Stack Development
Good to have skills : NA
Minimum 2 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary: 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.AI Powered Tech Talent.
Roles & 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.
Professional & Technical Skills: Strong grasp of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks. Ability to align AI capabilities with business objectives while ensuring scalability, responsible use, and tangible value realization.
We are seeking a dynamic Mid-Level Application Architects / Senior Developers with a strong focus on hands-on development and practical solution design. The ideal candidate will have robust experience in .NET Core, MVC, and Python, with working knowledge of front-end technologies like React or Angular, and a foundational understanding of AI integration. This role emphasizes active coding, solution implementation, and collaboration across application development, infrastructure, and integration in multi-cloud environments (AWS, Azure, Google Cloud) to deliver scalable, secure enterprise applications.
Key Responsibilities:
Hands-On Coding: 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.
Solution Design: Partner with senior architects to design scalable, cloud-native application architectures, focusing on performance, maintainability, and integration in multi-cloud environments.
Integration Development: Build and maintain integrations using APIs, microservices, and event-driven patterns (e.g., REST, GraphQL, Kafka, or message queues).
Multi-Cloud Implementation: Develop and deploy applications across AWS, Azure, and Google Cloud, ensuring portability and optimization for cost and performance.
AI Integration: Implement practical AI features (e.g., automation, basic analytics) using cloud-based AI services or frameworks like TensorFlow or PyTorch.
Infrastructure Support: 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.
Performance & Security Optimization: Ensure applications meet performance and security standards through code reviews, testing, and adherence to best practices.
Team Collaboration: Work closely with developers, product managers, and infrastructure teams to translate requirements into technical implementations, providing hands-on support and mentorship.
Continuous Learning: Stay updated on full-stack development trends, cloud technologies, and AI advancements to contribute to innovative solutions.
Qualifications & Skills:
Experience: 5 to 12 years of hands-on experience in full-stack development, with at least 2 years in a lead developer or junior architect role focusing on application-heavy systems.
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).
Soft Skills:
Strong debugging and problem-solving skills with a hands-on mindset.
Clear communication to collaborate with technical and non-technical stakeholders.
Ability to juggle hands-on coding with architectural design contributions.
Eagerness to learn and adapt to new tools, frameworks, and cloud technologies.
Education:
Bachelor s degree in computer science, Engineering, or a related field.
Certifications like Azure Developer Associate, Azure AI Fundamentals or similar are a plus.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
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