AI Native Software Engineer

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 Architecture
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education

Overview:

AI POWERED TECH TALENT

We are seeking a seasoned Full Stack Enterprise Architect with deep expertise in designing and implementing application-heavy, multi-cloud enterprise solutions. The ideal candidate will have a strong background in applications, infrastructure and integration, with hands-on experience in .NET Core, MVC Framework and Python, as well as exposure to modern front-end technologies like React or Angular. A solid understanding of AI and its integration into enterprise systems is essential. This role will drive the architecture of scalable, secure, and innovative solutions to support business objectives across multiple cloud platforms.
Key Responsibilities: Solution Architecture: Design end-to-end, application-heavy enterprise architectures that integrate infrastructure, applications, data and platforms across multi-cloud environments (e.g., AWS, Azure, Google Cloud).
Application Development Leadership: Lead the design and implementation of robust, scalable applications with a focus on full-stack development, ensuring alignment with business goals.
Integration Strategy: Architect seamless integrations between systems, applications, and third-party services using APIs, microservices, and event-driven architectures.
Multi-Cloud Strategy: Develop and implement strategies for deploying and managing applications across multiple cloud platforms, ensuring portability, scalability, and cost optimization.
Technology Leadership: Provide technical guidance on .NET, and Python-based backend systems, and modern front-end frameworks like React or Angular.
AI Adoption: Incorporate GenAI/Agentic AI capabilities into enterprise applications, leveraging frameworks and tools to enhance productivity & functionality (e.g., predictive analytics, automation).
Infrastructure Design: Collaborate with infrastructure teams to design cloud-native solutions, including containerization (Docker, Kubernetes), CI/CD pipelines, and IaC (Terraform, Bicep).
Performance & Security: Ensure solutions are optimized for performance, scalability, and security, adhering to industry standards and best practices.
Stakeholder Collaboration: Work closely with product managers, developers, DevOps, and business stakeholders to translate requirements into technical solutions.
Innovation & Trends: Stay updated on emerging technologies, including AI advancements, cloud trends, and full-stack development practices, to drive continuous improvement.
Qualifications & Skills: Experience: 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.
Soft Skills:
Excellent problem-solving and analytical skills.
Strong communication and leadership abilities to guide cross-functional teams.
Ability to translate complex technical concepts into business-friendly language.
Proactive, innovative mindset with a focus on delivering scalable solutions.

Education: Bachelor s or master s degree in computer science, Engineering, or a related field.
Relevant certifications (e.g., Azure Solutions Architect Expert, Azure AI Fundamentals, TOGAF, DevOps Engineer Expert 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 atwww.accenture.com

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, militaryveteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicablelaw. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.