Solution Architect
Jaipur / Gurugram
Technology
1 Openings
## About the role:
We are seeking an AI-native Solution Architect with deep expertise in Node.js
ecosystems, Microservices Architecture, and No-Code/Low-Code platforms to
design scalable, resilient, and configurable SaaS solutions.
This role will be instrumental in building a generic, multi-tenant SaaS platform that
enables rapid product development while ensuring performance, security, and high
availability across a polyglot data infrastructure.
## Key Responsibilities:
* Define and drive architecture vision, standards, and governance practices.
* Architect and scale multi-tenant SaaS platforms using microservices and event-driven design.
* Design and standardize APIs, data architectures (SQL & NoSQL), and cloud-native/serverless systems.
* Establish strong DevOps, CI/CD pipelines, and reusable engineering patterns.
* Design and implement AI-native architectures using LLMs, embeddings, and vector databases.
* Establish AI patterns such as RAG, copilots, and workflow automation.
* Build prompt orchestration layers and AI gateway services.
* Define AI governance, security guardrails, and responsible AI practices.
* Drive AI-assisted engineering (code generation, documentation, automated reviews).
* Lead adoption of AI-powered development tools and LLM-driven workflows.
* Continuously evaluate and integrate emerging AI technologies.
* Collaborate cross-functionally and mentor engineering teams.
## Experience & Skills:
* 8+ years in software engineering, including 3+ years in solution architecture.
* Strong expertise in Node.js, microservices, event-driven systems, and REST/GraphQL APIs.
* Experience with SQL & NoSQL databases (PostgreSQL, MySQL, MongoDB, Elasticsearch).
* Hands-on experience with cloud platforms (AWS/GCP/Azure) and CI/CD & DevOps practices..
* Familiarity with No-Code/Low-Code platforms and workflow automation.
* Experience with LLM APIs, RAG architectures, and AI integrations in production systems.
### Must haves:
* Active use of AI coding assistants (e.g., Claude, Cursor, Copilot) in daily development
* Strong prompt engineering skills for code generation, refactoring, and testing
* Experience working with agentic / multi-step AI workflows
* Understanding of AI limitations, risks, and hallucination handling
* Experience integrating LLMs into real-world applications (preferred)
We are seeking an AI-native Solution Architect with deep expertise in Node.js
ecosystems, Microservices Architecture, and No-Code/Low-Code platforms to
design scalable, resilient, and configurable SaaS solutions.
This role will be instrumental in building a generic, multi-tenant SaaS platform that
enables rapid product development while ensuring performance, security, and high
availability across a polyglot data infrastructure.
## Key Responsibilities:
* Define and drive architecture vision, standards, and governance practices.
* Architect and scale multi-tenant SaaS platforms using microservices and event-driven design.
* Design and standardize APIs, data architectures (SQL & NoSQL), and cloud-native/serverless systems.
* Establish strong DevOps, CI/CD pipelines, and reusable engineering patterns.
* Design and implement AI-native architectures using LLMs, embeddings, and vector databases.
* Establish AI patterns such as RAG, copilots, and workflow automation.
* Build prompt orchestration layers and AI gateway services.
* Define AI governance, security guardrails, and responsible AI practices.
* Drive AI-assisted engineering (code generation, documentation, automated reviews).
* Lead adoption of AI-powered development tools and LLM-driven workflows.
* Continuously evaluate and integrate emerging AI technologies.
* Collaborate cross-functionally and mentor engineering teams.
## Experience & Skills:
* 8+ years in software engineering, including 3+ years in solution architecture.
* Strong expertise in Node.js, microservices, event-driven systems, and REST/GraphQL APIs.
* Experience with SQL & NoSQL databases (PostgreSQL, MySQL, MongoDB, Elasticsearch).
* Hands-on experience with cloud platforms (AWS/GCP/Azure) and CI/CD & DevOps practices..
* Familiarity with No-Code/Low-Code platforms and workflow automation.
* Experience with LLM APIs, RAG architectures, and AI integrations in production systems.
### Must haves:
* Active use of AI coding assistants (e.g., Claude, Cursor, Copilot) in daily development
* Strong prompt engineering skills for code generation, refactoring, and testing
* Experience working with agentic / multi-step AI workflows
* Understanding of AI limitations, risks, and hallucination handling
* Experience integrating LLMs into real-world applications (preferred)
Recruitment Notice
“Due to high interest, our team connects only with candidates whose profiles closely match the role mandate.”
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