AI Solutions Architect (Hands on) - Full Stack Enterprise SaaS and Agentic Systems

Location: India (Remote) Experience: 5+ Years Employment Type: Full-TimeAbout the RoleWe are looking for a highly capable AI Solutions Architect (Hands on) – AI Integration & Full Stack Development to help evolve an enterprise SaaS platform by combining modern AI capabilities with scalable full-stack engineering.This is not just an implementation role — the selected candidate will be expected to analyze the existing platform, identify impactful AI-driven workflows, propose scalable AI and agentic architecture strategies, and participate hands-on in implementation and delivery.The ideal candidate should be comfortable operating at the intersection of:AI architecture, enterprise SaaS engineering, cloud-native systems, and product-oriented technical leadership. The SaaS platform is built using:Java (Backend) React (Frontend) MySQL (Database) Microsoft Azure (Cloud Infrastructure) We prefer an Azure-first AI ecosystem using Azure AI Services and related pre-trained models.Role FocusPrimary Focus – AI Architecture & Agent DevelopmentAnalyse the current SaaS platform and identify AI workflows that best fit business use cases. Propose and help define the AI architecture and agentic workflow strategy. Evaluate and recommend appropriate AI orchestration frameworks and agentic architectures based on scalability, maintainability, and business alignment. Research and evaluate modern AI technologies, tools, and frameworks suitable for enterprise SaaS products. Develop agentic AI applications capable of planning, reasoning, and executing enterprise workflows. Implement multi-agent workflows using orchestration frameworks such as Semantic Kernel, LangChain, LangGraph, AutoGen, or similar technologies. Integrate AI agents with enterprise systems via REST APIs, databases, and cloud services. Build prompt workflows, agent memory, tool usage, and repeatable execution pipelines. Monitor performance, response quality, scalability, and cost efficiency of deployed AI components. Support testing, observability, continuous improvement, and production readiness of AI systems. Collaborate with management and product teams to translate business workflows into practical AI-enabled solutions. Secondary Focus – Full Stack Development & Technical LeadershipDevelopment ResponsibilitiesDesign, develop, and maintain backend services using Java and Spring Framework. Implement and enhance frontend features using React. Manage databases using MySQL and optimize performance for high-traffic applications. Implement CI/CD pipelines and support deployment processes using Azure DevOps. Troubleshoot and resolve bugs and performance bottlenecks in frontend and backend systems. Maintain version control using Git and actively participate in code reviews and refactoring efforts. Deploy and manage applications and services within Microsoft Azure. Write clean, maintainable, scalable, and testable code. Implementation & Team ResponsibilitiesCollaborate with and guide internal/external development teams to ensure high-quality delivery and alignment with architectural goals. Manage customer requirements and transform business demands into implementation items and technical workflows. Define technical requirements and provide accurate effort estimations for new initiatives and features. Participate in architectural discussions for SaaS application design and scalability. Support release planning and collaborate with cross-functional teams for smooth product delivery. Work closely with Product, UX, Cloud, and Engineering teams. Technical SkillsMust-Have Skills5+ years of professional software development experience. 2+ years of hands-on experience with Generative AI and agent-based systems. Strong expertise in Java backend development. Strong understanding of Spring Framework / Spring Boot. Experience with cloud-native architectures and REST integrations. Experience working with Microsoft Azure or other cloud platforms. Understanding of prompt engineering and LLM limitations. Experience evaluating or implementing AI orchestration frameworks. Hands-on experience with MySQL database design and optimization. Experience with CI/CD pipelines and Azure DevOps. Strong understanding of microservice architectures and scalable SaaS systems. Knowledge of containerization technologies such as Docker. Strong problem-solving capability and ability to independently handle complex technical challenges. Highly Valued SkillsExperience with Azure OpenAI, Azure AI Studio, or Azure Cognitive Services. Experience with Semantic Kernel, LangChain, LangGraph, AutoGen, or similar frameworks. Experience integrating APIs from LLM providers such as OpenAI or Azure OpenAI. Experience with React and modern frontend development. Experience with Kubernetes and cloud deployment environments. Familiarity with frontend frameworks such as Vue.js or Angular. Understanding of AI governance, data privacy, and enterprise security considerations. Experience in architectural design of enterprise SaaS applications. Experience managing development teams or leading technical initiatives. What We ValueStrategic ThinkerAbility to analyse platforms, identify AI opportunities, and define scalable implementation roadmaps.Problem SolverStructured and analytical approach toward solving complex technical and business challenges.Business-to-Technology TranslatorAbility to transform business requirements into practical, maintainable technical solutions.AI CuriosityStrong enthusiasm for emerging AI technologies and their real-world enterprise applications.Leadership & OwnershipCapability to independently drive initiatives from architecture through implementation.Team CollaborationStrong communication skills and ability to work effectively with product, engineering, cloud, and international teams.Additional ExpectationsWe need senior candidates that have the capability to work with German engineers in a competitive environment. They should be ready to learn complex engineering techniques and have experience on complex technical landscape.Why Join Us?Opportunity to shape AI strategy for a growing enterprise SaaS platform. Exposure to modern Agentic AI and enterprise workflow automation. Work with cloud-native technologies and international engineering teams. Opportunity to influence product direction and architecture decisions. Collaborative environment with high ownership and technical impact.

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