AI Specialist

Godrej Infotech Ltd; Mumbai; On-site; INR 2,800,000 - 6,000,000; Full time

Job summary

Godrej Infotech Ltd. is seeking a senior AI platform engineer to design and develop a foundational Agentic Automation Platform using AWS Bedrock AgentCore and LangGraph.

You will create reusable components, policy engines, and agent templates to accelerate onboarding of new processes while maintaining compliance and auditability. The role involves building multi-agent orchestration patterns, integrating real-time APIs, and delivering enterprise-grade automation with secure, scalable backend and

Qualifications

• Experience building production systems on AWS.
• Hands-on experience with LangGraph or similar frameworks.
• Ability to design reusable platform components and templates.

Responsibilities

• Design and build a foundational Agentic AI Platform using AWS Bedrock AgentCore and LangGraph.
• Develop multi-agent orchestration patterns extendable across domains.
• Create reusable components: policy engine, agent templates, and tool groups.
• Implement deterministic workflows with output validation (Pydantic v2, JSON Schema).
• Integrate external APIs for real-time and asynchronous interactions.
• Build backend services: DynamoDB, S3, Step Functions, EventBridge, API Gateway, Lambda, Cognito, Amplify.
• Support frontend with React 18 + AWS Amplify as needed.
• IaC with AWS CDK (Python) or Terraform; ensure security and cost optimization.
• Create internal docs and contribute to a shared platform knowledge base.
• Collaborate with teams to translate business processes into scalable workflows.

Skills

AWS Bedrock

AgentCore & LangGraph

Python 3.11+

TypeScript

Policy enforcement

Education

Masters Degree in CS/Data Science/AI

MTech/MCA/MS

Tools

Terraform

AWS CDK

DynamoDB

S3

Step Functions

EventBridge

API Gateway

React 18

Amplify

Job description

- 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 new 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.

Key Responsibilities

- 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 patternso 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 storageo Step Functions for orchestrationo EventBridge for scheduling and triggerso 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.

Preferred Qualification : Masters Degree (MTech,MCA,MS) in CS/Data Science/AI

Experience Details

Experience Details Qualification : - 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 workflows o Memory management o Policy enforcement o Structured and validated outputs - Experience integrating multiple external APIs.

Special Skill

Essential : AWS Core Services- Bedrock AgentCore / Bedrock Agents- Lambda, Step Functions, DynamoDB, S3- API Gateway, EventBridge, Cognito, AmplifyAgentic AI Frameworks- LangGraph (highly preferred)- CrewAI / AutoGen / AWS Bedrock AgentsProgramming & Validation- Python 3.11+ (Expert)- TypeScript (Strong)- Pydantic v2, JSON Schema, Structured OutputsCompliance & Governance- Policy-as-code frameworks such as Cedar, OPA, or equivalent- Strong understanding of compliance enforcement patternsInfrastructure & Frontend (Optional)- AWS CDK (Python) or Terraform- React 18 with AWS AmplifyCertifications- AWS Certified Generative AI Developer - Professional / AWS Certified Machine Learning - Specialty
Preferred : -