Solution Architect – GenAI

Role: Solution Architect - GenAI / Java / .NET
Experience: 10 Years
Job Type: Full-Time
Location: PAN India

Role Overview
We are looking for an experienced Solution Architect with 10 years of overall IT experience and strong expertise in Enterprise Application Architecture AI and Generative AI. The candidate will be responsible for designing scalable enterprise solutions defining architecture strategies and integrating modern GenAI capabilities into business applications.

Key Responsibilities
Define and implement end-to-end solution architecture for complex enterprise applications.
Design scalable secure highly available and high-performance solutions using Java and/ technologies.
Provide technical leadership across application architecture integration APIs cloud data and AI/GenAI components.
Evaluate business and technical requirements and translate them into scalable architecture and solution designs.
Design microservices REST APIs event-driven architectures and distributed systems.
Lead architecture decisions involving databases cloud platforms integration frameworks and enterprise applications.
Identify opportunities to leverage AI and Generative AI to improve products applications and business processes.
Design and integrate LLM/GenAI-based solutions AI services copilots chatbots RAG-based applications and AI agents where applicable.
Work with technologies and platforms such as Azure OpenAI OpenAI AWS/Azure AI services Hugging Face LangChain LangGraph or equivalent GenAI tools.
Define architecture patterns for RAG prompt engineering embeddings vector databases model integration and AI orchestration.
Assess existing applications and recommend modernization migration and transformation strategies.
Establish architecture standards design principles coding standards and technology guidelines.
Conduct architecture reviews proof-of-concepts and technology evaluations.
Collaborate with engineering product DevOps cloud security data and business teams.
Mentor senior developers and architects and provide technical guidance throughout the development lifecycle.
Ensure solutions meet requirements related to security scalability reliability performance maintainability and compliance.

Mandatory Skills:
10 years of experience in software development enterprise architecture or solution architecture.
Strong experience in Solution Architecture / Enterprise Application Architecture.
Strong hands-on expertise in Java and/ technologies.
Experience designing enterprise-scale applications and distributed systems.
Strong understanding of microservices REST APIs integration patterns messaging and cloud architecture.
Strong knowledge of AI and Generative AI concepts products and tools.
Experience integrating GenAI/LLM capabilities into enterprise applications or products.
Strong understanding of software architecture patterns design principles and technology selection.
Excellent communication stakeholder management and technical leadership skills.

GenAI / AI Skills:
Understanding of LLMs Generative AI AI agents RAG embeddings vector databases and prompt engineering.
Experience with one or more GenAI platforms/tools such as Azure OpenAI OpenAI Anthropic Google Vertex AI AWS Bedrock Hugging Face LangChain or LangGraph.
Experience designing AI-powered enterprise applications copilots conversational solutions or intelligent automation.
Understanding of Responsible AI security data privacy model governance and GenAI application architecture.

Java / .NET Architecture:
Strong understanding of Java/J2EE Spring Boot Spring Cloud and enterprise application development.
Alternatively/ additionally strong experience Core/.NET C# Core Web API.
Experience with microservices architecture API Gateway authentication/authorization caching messaging and asynchronous processing.
Knowledge of databases such as Oracle SQL Server PostgreSQL or NoSQL databases.
Experience with cloud-native architecture and containerization using Docker/Kubernetes is preferred.

Preferred / Desirable Skills:
Cloud architecture experience in Azure AWS or GCP.
Experience with DevOps CI/CD Docker Kubernetes Terraform or similar technologies.
Experience with enterprise integration API management event streaming and messaging platforms.
Experience leading architecture for digital transformation application modernization or cloud migration programs.
Knowledge of MLOps/ LLMOps and AI governance.
Experience building or architecting multi-agent / agentic AI solutions is an advantage.

Required Skills:

SQL SERVERPOSTGRESQLJ2EEAPISMODEL INTEGRATIONNOSQLDOCKERAWSJAVAMICROSERVICES ARCHITECTUREREST APISSTAKEHOLDER CORECI/CDSPRING BOOTDEVOPSAZURETERRAFORMENTERPRISE INTEGRATIONC#