GenAI Solution Architect

Last Working Day

Pune District, Maharashtra, India

About the Role

Job Description – GenAI Solution Architect Role: GenAI Solution Architect Experience: 13–17 Years Location: PAN India Primary Skills: MERN Stack, Agentic AI, AWS Position Summary We are looking for an experienced GenAI Solution Architect with 13–17 years of experience in designing, architecting, and implementing enterprise-scale digital and AI solutions. The ideal candidate should have strong expertise in MERN Stack, Agentic AI, and AWS Cloud, with hands-on experience building scalable, cloud-native Generative AI applications and intelligent agent-based systems. The role involves leading architecture initiatives, defining technical roadmaps, mentoring engineering teams, and delivering innovative AI-driven solutions that address complex business challenges.

Responsibilities

Key Responsibilities
Architect and design enterprise-grade Generative AI and Agentic AI solutions.
Develop intelligent multi-agent systems using Agentic AI frameworks.
Design and implement scalable cloud-native architectures on AWS.
Build AI-powered applications using MERN Stack technologies.
Design Retrieval-Augmented Generation (RAG) and Agentic AI workflows.
Define solution architecture, integration patterns, and deployment strategies.
Lead technical discussions with business stakeholders and customers.
Drive architecture governance, security, scalability, and performance optimization.
Mentor development teams and establish engineering best practices.
Collaborate with Data Scientists, Product Teams, Cloud Engineers, and Business Leaders.
Evaluate emerging AI technologies and provide strategic recommendations.
Architectural Responsibilities
Define enterprise AI and cloud architecture standards.
Design scalable and secure distributed systems.
Establish best practices for GenAI application development.
Ensure highly available and resilient cloud architectures.
Lead architecture reviews and technical governance activities.
Support pre-sales and solutioning engagements.
Leadership Responsibilities
Lead cross-functional engineering teams.
Mentor developers and technical leads.
Conduct architecture reviews and technical assessments.
Drive innovation and solution accelerators.
Partner with senior stakeholders and leadership teams.
Provide technical direction for strategic initiatives.

Qualifications

Educational Qualification Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.

Required Skills

Generative AI & Agentic AI
Hands-on experience with:
Agentic AI Frameworks
AutoGen
CrewAI
LangGraph
LangChain
LlamaIndex
Semantic Kernel
Multi-Agent Orchestration
Experience building:
AI Agents
Autonomous Workflows
Enterprise Copilots
Conversational AI Solutions
RAG-Based Applications
Expertise in:
Prompt Engineering
Vector Databases
Embedding Models
Knowledge Retrieval Systems
AI Guardrails
MERN Stack Development
Frontend
React.js
JavaScript
TypeScript
Redux
HTML5
CSS3
Material UI
Backend
Node.js
Express.js
Database
MongoDB
NoSQL Databases
Architecture
REST APIs
GraphQL
Microservices
Event-Driven Systems
AWS Cloud Technologies
Amazon Bedrock
AWS SageMaker
AWS Lambda
ECS / EKS
API Gateway
DynamoDB
OpenSearch
RDS / Aurora
S3
CloudWatch
EventBridge
IAM
VPC
AI & Data Engineering
Retrieval-Augmented Generation (RAG)
Hybrid Search
Vector Databases:
Pinecone
ChromaDB
FAISS
Weaviate
Data Ingestion Pipelines
Document Processing
OCR Solutions
Large Language Models (LLMs)
Fine-Tuning Techniques
Data Modernization
DevOps / MLOps / LLMOps
Docker
Kubernetes
Jenkins
GitHub Actions
CI/CD Pipelines
MLflow
Monitoring & Observability
Model Evaluation Frameworks

Preferred Skills

Preferred Qualifications
Experience with Amazon Bedrock Agent Framework.
AWS Solution Architect Certification.
Exposure to Responsible AI and AI Governance.
Experience in BFSI, Healthcare, Retail, Manufacturing, Telecom, or Hi-Tech domains.
Strong consulting and

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