AI Technical Specialist
Summary
AI Technical Specialist in Mumbai designing and building a reusable agentic AI automation platform on AWS Bedrock AgentCore and LangGraph — multi-agent orchestration, a shared policy engine, validated structured outputs, and AWS backends (Lambda, DynamoDB, Step Functions, API Gateway). Requires 8+ years' experience, incl. 5+ building production systems on AWS.
POSITION NAME : AI Technical Specialist
LOCATION : Mumbai
Experience : 8+ years
Job Description:
- 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: 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: DynamoDB (multi-process schemas) o S3 for document storage o Step Functions for orchestration o Event Bridge 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.
REQUISITE QUALIFICATION
Essential: Engineering Graduate in CS/Data Science/AI
Preferred: Masters Degree (MTech,MCA,MS) in CS/Data Science/AI
REQUISITE WORK EXPERIENCE
- 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:
a. Deterministic workflows o Memory management
b. Policy enforcement
c. Structured and validated outputs
- Experience integrating multiple external APIs.