AWS Administrator(Amazon Bedrock) & Gen AI Platform

Role & responsibilities

About the Role:

LLM Artificial Intelligence India Private Limited is seeking a mid-level AWS Administrator who can manage our core AWS environment end to end and administer our Generative AI workloads on Amazon Bedrock.

You will own the day-to-day health, security, and cost of our cloud accounts, and support agentic AI applications built on Anthropic Claude, working closely with AI engineering teams in India and the US.

Key Responsibilities - Core AWS Administration:

• Administer AWS accounts using AWS Organizations, Control Tower, and multi-account best practices.
• Manage IAM users, roles, policies, permission boundaries, and SSO/Identity Center integration.
• Provision and maintain EC2, S3, Lambda, API Gateway, RDS/DynamoDB, and OpenSearch resources.
• Design and manage VPCs, subnets, security groups, NACLs, Transit Gateway, and PrivateLink endpoints.
• Implement monitoring, logging, and alerting with CloudWatch, CloudTrail, and AWS Config.
• Manage backup, disaster recovery, and patching using AWS Backup and Systems Manager.
• Drive cost governance through budgets, Cost Explorer, tagging standards, and rightsizing recommendations.
• Automate infrastructure with Terraform, CloudFormation, or CDK and support CI/CD pipelines.
• Enforce security best practices including KMS encryption, Secrets Manager, GuardDuty, Security Hub, and least-privilege access.

Amazon Bedrock & GenAI

• Administer Amazon Bedrock, including model access, provisioned throughput, inference profiles, and quotas.
• Configure and operate Bedrock Agents, Knowledge Bases, and RAG pipelines with vector stores.
• Implement Bedrock Guardrails, content filtering, and responsible AI controls.
• Manage secure connectivity for Bedrock workloads via VPC endpoints and PrivateLink.
• Monitor model invocation metrics, latency, throttling, and token consumption; tune for cost and performance.
• Support prompt management, model evaluation, and versioning workflows with engineering teams.
• Integrate Bedrock with Lambda, Step Functions, S3, and OpenSearch for production AI applications.

Required Skills

• 4+ years of hands-on AWS administration in production environments.
• 1+ year of experience with Amazon Bedrock or comparable GenAI services.
• Strong command of IAM, VPC networking, EC2, S3, Lambda, and CloudWatch.
• Working knowledge of Anthropic Claude or similar foundation models.
• Infrastructure as Code experience with Terraform, CloudFormation, or CDK.
• Scripting proficiency in Python or Bash; comfort with Git-based workflows.
• Understanding of GenAI concepts including:
  
• Prompting
• RAG
• Agents
• Embeddings
• Guardrails

Preferred candidate profile

• AWS Certified Solutions Architect Associate, SysOps Administrator, or AI Practitioner.
• Experience with Databricks, SageMaker, or MCP-based integrations.
• Exposure to enterprise or government compliance environments such as SOC 2 and FedRAMP-style controls.
• Willingness to overlap a few hours with US Pacific Time for cross-team coordination.

Education

Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field.