Agentic AI Platform Design & Development: Design, build, and evolve a foundational Agentic Automation Platform using AWS Bedrock AgentCore and LangGraph to support multiple enterprise-grade business processes. - Reusable & Scalable Architecture: Develop reusable agent templates, structured output frameworks, policy engines, and tool libraries to enable rapid onboarding of recent business processes with guaranteed compliance. - Enterprise Process Automation: Implement end-to-end automation for enterprise processes such as Vendor / Business Partner Onboarding, Logistics, and Leasing, integrating real-time and asynchronous external API verifications with mandatory checklist enforcement. - Compliance, Security & Determinism: Ensure strict compliance through policy-as-code enforcement, deterministic agent workflows, auditable executions, and secure handling of enterprise data. - Technical Leadership & Platform Maturity: Mentor development teams, establish best practices, maintain internal documentation, and build a developer-facing platform framework scalable across 10+ business processes. - Design and build a foundational Agentic AI Automation Platform using AWS Bedrock AgentCore and LangGraph. - Develop multi-agent orchestration patterns that are extensible across business domains. - Create reusable platform components including: o Shared Policy Engine (Cedar or equivalent) o Agent templates and Pydantic-based structured output patterns o Reusable tool/action groups for email services, ERP integrations, verification APIs, risk scoring, etc. - Implement deterministic agent workflows with strict output validation using Pydantic v2, JSON Schema, and structured outputs. - Integrate multiple external APIs supporting both real-time and asynchronous agent interactions. - Build and manage backend services including: o DynamoDB (multi-process schemas)



o S3 for document storage o Step Functions for orchestration o EventBridge for scheduling and triggers o API Gateway, Lambda, Cognito - Support frontend frameworks using React 18 + AWS Amplify where required. - Implement Infrastructure as Code using AWS CDK (Python preferred) or Terraform. - Ensure solutions are secure, auditable, cost-optimized, and production-grade. - Create internal developer documentation and contribute to a shared platform knowledge base. - Collaborate with functional teams to translate business processes into scalable agentic workflows. - Minimum 5+ years of experience building production systems on AWS.- Strong hands-on experience building agentic AI applications using LangGraph (preferred) or equivalent frameworks such as CrewAI, AutoGen, or Bedrock Agents in production.- Proven experience in designing reusable platforms or frameworks, not just single-use implementations.- Demonstrated expertise in:o Deterministic workflowso Memory managemento Policy enforcemento Structured and validated outputs- Experience integrating multiple external APIs. - Experience with enterprise business process automation.- Prior ownership of platform-level AI or automation initiatives. Essential : AWS Core Services - Bedrock AgentCore / Bedrock Agents - Lambda, Step Functions, DynamoDB, S3 - API Gateway, EventBridge, Cognito, Amplify Agentic AI Frameworks - LangGraph (highly preferred) - CrewAI / AutoGen / AWS Bedrock Agents Programming & Validation - Python 3.11+ (Expert) - TypeScript (Strong) - Pydantic v2, JSON Schema, Structured Outputs Compliance & Governance - Policy-as-code frameworks such as Cedar, OPA, or equivalent - Strong understanding of compliance enforcement patterns Infrastructure & Frontend (Optional) - AWS CDK (Python) or Terraform - React 18 with AWS Amplify Certifications - AWS Certified Generative AI Developer - Professional / AWS Certified Machine Learning - Specialty
Preferred : - Engineering Graduate in CS/Data Science/AI

📌 Senior AI Developer (Maharashtra)
🏢 Godrej Infotech
📍 Maharashtra