We are looking for a seasoned Solutions Architect with deep expertise in either the Microsoft Technology Stack or Open Source Stack to design enterprise-grade solutions for our global clients. You will lead architecture design across cloud, microservices, and enterprise platforms, embedding AI-first thinking to create scalable, cost-effective, and future-ready solutions.
Key Responsibilities :
- Lead solution architecture design and implementation across cloud environments, microservices, and enterprise platforms.
- Support pre-sales efforts including RFP responses, estimations, and client workshops.
- Define and evolve reference architectures, reusable frameworks, and accelerators.
- Serve as a trusted advisor on scalability, cost optimization, and digital transformation
journeys.
Collaborate with delivery and practice teams to ensure successful execution of architecture vision.Embed AI-first principles by leveraging AI / ML services, generative AI, and cognitiveautomation in solution design.
Champion AI-enabled accelerators that reduce time-to-market and maximize client ROI.Who Were Looking For :
10+ years of IT services experience, including at least 4 years in a solution architect orleadership role.
Strong expertise in either :
Microsoft Stack : Azure, .NET Core, SQL Server, Power PlatformOpen Source Stack : Java, Python, Node.js, React, Angular, Kubernetes, PostgreSQLProven experience designing solutions for various service engagement models (T&M, fixed price, managed services).Hands-on experience with cloud-native architectures and AI-enabled solutions on platforms such as Azure, AWS, or GCP.Proficient in AI & Machine Learning tools (Azure Cognitive Services, AWS AI Services, GCP AI Tools).Skilled in front-end technologies : React, Angular.Strong backend development skills : Java, .NET Core, Python, Node.js.Experience with containerization and orchestration (Kubernetes, Docker).Familiarity with SQL Server and PostgreSQL databases.Excellent stakeholder management and presentation skills, able to engage effectively at all organizational levels.Passionate about applying AI in enterprise workflowsfrom intelligent automation to data-driven decision frameworks.(ref : hirist.tech)