Design and deliver custom full-stack, enterprise-grade solutions using .NET Core and Python. Lead AI-driven (Generative/Agentic) solution design, architect multi-cloud deployments, integrate systems via APIs/microservices, and implement containerization, IaC, and CI/CD. Ensure performance, security, and stakeholder alignment while guiding cross-functional teams to operationalize AI capabilities into scalable enterprise workflows.
Project Role : Custom Software Engineer
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : .Net Full Stack Development
Good to have skills : NA
Minimum 3 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.
Overview:
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
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : .Net Full Stack Development
Good to have skills : NA
Minimum 3 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.
Overview:
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 at www.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, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Accenture Mahārāshtra, IND Office
India
Accenture Pune, Mahārāshtra, IND Office
Building B-1, Magarpatta City (SEZ, Mundhwa Rd, Magarpatta, Hadapsar, Pune, Maharashtra, India, 411013
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