Custom Software Engineer

Custom Software Engineer

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 : Generative AI
Good to have skills : NA
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
Technology: Microsoft Copilot, Microsoft Copilot Studio, SAP BTP, AWS ML

Job Description

We are seeking an experienced Solution Architect to lead the design and delivery of enterprise AI, automation, and agentic solutions across Microsoft Copilot, Copilot Studio, SAP BTP, and AWS AI/ML platforms. The ideal candidate will be responsible for defining end-to-end solution architecture, establishing integration and orchestration strategies, and ensuring alignment with enterprise architecture standards. This role requires expertise in designing scalable, secure, and business-focused AI solutions while driving governance, compliance, and Responsible AI practices. The Solution Architect will collaborate with business and technology stakeholders to shape strategic roadmaps, define reusable solution patterns, and ensure successful delivery of production-ready AI capabilities.

Key Responsibilities:

Define and govern solution architecture across Microsoft Copilot, Copilot Studio, SAP BTP, and AWS AI/ML services.
Design enterprise AI, automation, and agentic solutions aligned with business objectives and technology strategy.
Develop cross-platform integration and orchestration architectures connecting SAP and non-SAP ecosystems.
Establish governance, security, compliance, and Responsible AI frameworks for enterprise AI solutions.
Lead technical solutioning workshops, discovery sessions, and architecture reviews.
Define reusable architecture patterns, standards, and capability roadmaps to accelerate delivery.
Ensure AI solutions align with enterprise architecture principles and technology standards.
Provide technical leadership throughout solution design, development, deployment, and operationalization.
Oversee solution quality, scalability, reliability, and production readiness.
Collaborate with business stakeholders, product owners, and delivery teams to drive successful outcomes.
Support investment planning, technology evaluation, and strategic decision-making.
Drive continuous improvement through innovation, best practices, and emerging AI technologies.