AI Solutions Architect (Hands on)

Full Stack Enterprise SaaS and Agentic Systems

Location : India (Remote)

Experience : 5+ Years

Employment Type : Full-Time

About the Role :

We 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,

- 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 Focus :

Primary Focus AI Architecture & Agent Development :

- Analyze 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 Leadership :

Development Responsibilities :

- Design, 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 Responsibilities :

- Collaborate 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 Skills :

Must-Have Skills :

- 5+ 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 Skills :

- Experience 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 Value :

- Strategic Thinker : Ability to analyse platforms, identify AI opportunities, and define scalable implementation roadmaps.

- Problem Solver : Structured and analytical approach toward solving complex technical and business challenges.

- Business-to-Technology Translator : Ability to transform business requirements into practical, maintainable technical solutions.

- AI Curiosity : Strong enthusiasm for emerging AI technologies and their real-world enterprise applications.

- Leadership & Ownership : Capability to independently drive initiatives from architecture through implementation.

- Team Collaboration : Strong communication skills and ability to work effectively with product, engineering, cloud, and international teams.

Additional Expectations :

We 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.