AI Native Software Engineer

AI Native Software Engineer

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

Minimum 2 year(s) of experience is required. Educational Qualification: 15 years full time education.

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.

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.

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.