Administrator (Support & Operations)

Gautam Buddha Nagar, Uttar Pradesh

Job Summary

Experience: 5-10 years of overall experience, including at least 1 year of production Generative AI implementation using Amazon Bedrock, Bedrock Knowledge Bases, Bedrock Guardrails, and Bedrock AgentCore Runtime, Gateway, Memory, Identity, Evaluations, and Observability.

Job Summary: We are looking for an experienced Senior Developer - AWS Generative AI and Agentic AI to design, build, and deliver secure, scalable, production-grade AI solutions using Amazon Bedrock, Bedrock Knowledge Bases, Bedrock Guardrails, and Bedrock AgentCore Runtime, Gateway, Memory, Identity, Evaluations, and Observability. The candidate will translate business requirements into measurable technical outcomes and apply strong engineering, observability, security, governance, and Responsible AI practices.

Key Responsibilities

Experience: 5-10 years of overall experience, including at least 1 year of production Generative AI implementation using Amazon Bedrock, Bedrock Knowledge Bases, Bedrock Guardrails, and Bedrock AgentCore Runtime, Gateway, Memory, Identity, Evaluations, and Observability.

Job Summary: We are looking for an experienced Senior Developer - AWS Generative AI and Agentic AI to design, build, and deliver secure, scalable, production-grade AI solutions using Amazon Bedrock, Bedrock Knowledge Bases, Bedrock Guardrails, and Bedrock AgentCore Runtime, Gateway, Memory, Identity, Evaluations, and Observability. The candidate will translate business requirements into measurable technical outcomes and apply solid engineering, observability, security, governance, and Responsible AI practices.

Skill Requirements

Must Have Skills:

- Hands-on experience with Amazon Bedrock and Models: Amazon Bedrock, Converse API, Amazon Nova, Anthropic Claude,



cross-Region inference profiles.
- Hands-on experience with Bedrock AgentCore: Amazon Bedrock AgentCore Runtime, Harness, Memory, Gateway, Identity.
- Hands-on experience with RAG and Knowledge Bases: Amazon Bedrock Knowledge Bases, Amazon S3, Amazon OpenSearch Serverless, Amazon Aurora, Amazon Neptune Analytics.
- Hands-on experience with Agents and Orchestration: Agents for Amazon Bedrock, AWS Lambda, LangGraph, LangChain, Strands Agents.
- Hands-on experience with Prompt Engineering and Evaluation: Amazon Bedrock prompt management, Bedrock evaluations, Bedrock Guardrails.
- Hands-on experience with Security and Responsible AI: AWS IAM, AWS KMS, AWS Secrets Manager, Amazon Cognito, Amazon VPC.

Other Requirements

Must Have Skills:

- Hands-on experience with Amazon Bedrock and Models: Amazon Bedrock, Converse API, Amazon Nova, Anthropic Claude, cross-Region inference profiles.
- Hands-on experience with Bedrock AgentCore: Amazon Bedrock AgentCore Runtime, Harness, Memory, Gateway, Identity.
- Hands-on experience with RAG and Knowledge Bases: Amazon Bedrock Knowledge Bases, Amazon S3, Amazon OpenSearch Serverless, Amazon Aurora, Amazon Neptune Analytics.
- Hands-on experience with Agents and Orchestration: Agents for Amazon Bedrock, AWS Lambda, LangGraph, LangChain, Strands Agents.
- Hands-on experience with Prompt Engineering and Evaluation: Amazon Bedrock prompt management, Bedrock evaluations, Bedrock Guardrails.
- Hands-on experience with Security and Responsible AI: AWS IAM, AWS KMS, AWS Secrets Manager, Amazon Cognito, Amazon VPC.

Preferred Skills:

- Working knowledge of Deployment, LLMOps and Observability, including Amazon CloudWatch, AWS X-Ray, AWS CloudTrail, Amazon ECR.
- Working knowledge of Data and Multimodal AI, including Amazon S3, AWS Glue, AWS Lake Formation, Amazon Athena.

📌 Administrator (Support & Operations) (India)
🏢 HCLTech
📍 India