GenAI Solution Architect
Role: GenAI Solution Architect
Experience: 13–17 Years
Primary Skills: MERN Stack, Agentic AI, AWS
Locations: Pune, Bengaluru, Hyderabad, Chennai, Noida
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.
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.
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
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.
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 stakeholder management skills.
Educational Qualification
- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
Ideal Candidate
A seasoned GenAI Solution Architect with 13–17 years of experience and deep expertise in MERN Stack, Agentic AI, and AWS, capable of designing enterprise-scale AI solutions, leading architecture initiatives, and driving digital transformation programs.