GenAI Solution Architect

Last Working Day; Pune District; Remote; INR 4,000,000 - 7,000,000; Full time

Job summary

Last Working Day seeks an experienced GenAI Solution Architect with 13-17 years of experience to design, architect, and deliver enterprise-scale AI solutions across PAN India. You will leverage MERN Stack, Agentic AI, and AWS to build scalable cloud-native GenAI apps and intelligent agent-based systems.

You will lead architecture initiatives, define roadmaps, mentor engineering teams, drive governance, and collaborate with data scientists, product and cloud engineers to address complex business

Qualifications

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

Responsibilities

• Architect and design enterprise-grade Generative AI and Agentic AI solutions.
• 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.
• 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.

Skills

MERN Stack

Agentic AI

AWS Cloud

Leadership

Mentoring

Education

Bachelor's or Master's degree in CS/IT/Engineering

Tools

Agentic AI Frameworks

AutoGen

LangChain

LangGraph

Semantic Kernel

Multi-Agent Orchestration

AI Agents

RAG

Job description

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.
• 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.
• 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
• Semantic Kernel
• Multi-Agent Orchestration
• Experience building:
• AI Agents
• Autonomous Workflows
• Conversational AI Solutions
• RAG-Based Applications
• Prompt Engineering
• Vector Databases
• Knowledge Retrieval Systems
• AI Guardrails
• MERN Stack Development
• Frontend
• React.js
• TypeScript
• HTML5
• CSS3
• Material UI
• Node.js
• Express.js
• Database
• MongoDB
• NoSQL Databases
• REST APIs
• GraphQL
• Microservices
• Amazon Bedrock
• AWS SageMaker
• AWS Lambda
• ECS / EKS
• API Gateway
• DynamoDB
• OpenSearch
• RDS / Aurora
• S3
• CloudWatch
• EventBridge
• IAM
• VPC
• Retrieval-Augmented Generation (RAG)
• Hybrid Search
• Vector Databases:
• Pinecone
• ChromaDB
• FAISS
• Weaviate
• Document Processing
• OCR Solutions
• Data Modernization
• DevOps / MLOps / LLMOps
• Docker
• Jenkins
• GitHub Actions
• MLflow
• Monitoring & Observability

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.