? Hiring: Forward Deploy Architect | Enterprise Architecture | AI amp; Cloud
We are looking for an accomplished Forward Deploy Architect with strong expertise in Enterprise Architecture, Full-Stack Engineering, AWS Cloud, Generative AI and Agentic Engineering.
?Locations: Bangalore | Hyderabad | Chennai | Coimbatore | Mumbai | Pune | Ahmedabad? Work Mode: Hybrid – 2 days/week from office is mandatory
? Experience: 15–20 Years
? In-person interview is mandatory
?Key Skills amp; Expertise
• Robust Enterprise / Solution Architecture experience with large-scale, secure and resilient platforms
• Expertise in Microservices, REST APIs, Event-Driven Architecture and Distributed Systems
• Hands-on experience with Java and/or Python, Spring Boot, React and/or Angular
• Strong AWS Cloud Architecture experience – EKS, Lambda, S3, RDS, DynamoDB, API Gateway, EventBridge, SQS, SNS, IAM and CloudWatch
• Strong experience in Generative AI, LLM applications, RAG, AI Agents and Agentic Workflows
• Hands-on experience with Amazon Bedrock, LangChain, LangGraph, MCP or similar technologies
• Experience taking AI solutions from PoC to production, with knowledge of AI governance, security, observability and responsible AI
• Experience with AI-native engineering / AI-assisted SDLC and engineering agents
• Strong client-facing architecture leadership, workshops, technical discovery and solution design experience
• Strong Life Sciences and/or Healthcare domain experience
• Experience in application modernization, cloud transformation and platform engineering
? Interested candidates can share their updated CV at:
[email protected]
Please mention Forward Deploy Architect in the subject line
• .#Hiring #ForwardDeployArchitect #EnterpriseArchitect #SolutionArchitect #AWS #GenerativeAI #AgenticAI #GenAI #LLM #RAG #AmazonBedrock #LangChain #LangGraph #Java #Python #SpringBoot #Microservices #React #Angular #LifeSciences #Healthcare #AIArchitecture #TechnologyLeadership #BangaloreJobs #Hyd
📌 Forward Deploy Architect (Ahmedabad)
🏢 DoublU
📍 Ahmedabad