Role Overview

We are looking for a highly experienced Senior AI Cloud Engineer with 12+ years of experience in Cloud Engineering, DevOps, Data Engineering, or AI Infrastructure, with strong hands-on expertise in AWS and Generative AI .

The role will focus on building and optimizing GenAI infrastructure, AWS Bedrock agents, observability pipelines, LLM usage monitoring, and cloud cost optimization . The ideal candidate should be hands-on with Amazon Bedrock, Python, AWS monitoring services, LLM observability, and FinOps .

AWS Bedrock Experience Is Mandatory. Key Responsibilities

- Design, develop, and deploy AI agents using AWS Agents for Amazon Bedrock.
- Build scalable GenAI infrastructure and supporting cloud services on AWS.
- Develop end-to-end observability and data-log pipelines for GenAI workloads.
- Implement monitoring and alerting using CloudWatch, EventBridge, SNS, Lambda, and related AWS services.
- Analyze application and MuleSoft logs to identify failures, anomalies, and integration issues.
- Monitor Amazon Bedrock usage, token consumption, model utilization, and billing metrics.
- Implement GenAI cost optimization and FinOps strategies to control LLM/AWS expenditure.
- Develop production-grade Python scripts and automation for data processing, API integration, AI workflows,



and cloud operations.
- Design dashboards and reporting mechanisms for LLM performance, usage, cost, and operational health.
- Evaluate and select appropriate AWS services for different monitoring, alerting, and automation requirements.
- Troubleshoot production issues across AI, cloud, integration, and observability layers.
- Work with architecture, DevOps, data, and application teams to establish scalable and reliable GenAI solutions.

Mandatory Skills
- 12+ years of overall experience in Cloud Engineering, DevOps, Data Engineering, AI Engineering, or related technologies.
- Strong hands-on experience with AWS.
- Mandatory hands-on experience with Amazon Bedrock.
- Experience with AWS Agents for Amazon Bedrock / Agent-based GenAI solutions.
- Solid Python programming experience.
- Experience with LLM observability and monitoring.

- Strong knowledge of

- AWS CloudWatch

- AWS Lambda

- Amazon SNS

- Amazon EventBridge

- AWS logging and monitoring
- Understanding of LLM tokenization, prompt engineering, model usage, and pricing/cost structures.
- Experience monitoring and optimizing GenAI/AWS costs.

Skills: cloud,aws,devops,python,bedrock

📌 Senior AI Cloud Engineer (AWS Bedrock & Generative AI) (Pune)
🏢 Zorba AI
📍 Pune