We are looking for a highly skilled

Senior AI Cloud Engineer with strong expertise in

AWS, Amazon Bedrock, Python, and Generative AI

. The role will focus on designing, deploying, monitoring, and optimizing AI infrastructure and

AWS Bedrock Agents

. The ideal candidate should have strong experience in AI agent orchestration, observability, automation, LLM cost monitoring, and AWS cloud services.

Key Responsibilities

- Design and deploy AI agents using AWS Agents for Amazon Bedrock for complex business workflows.

- Develop and maintain Python-based automation for data processing, API integrations, agent workflows, and cloud operations.

- Build end-to-end logging, monitoring, and observability pipelines for AI/LLM workloads.

- Analyze application and MuleSoft logs and integrate them with AWS monitoring and alerting solutions.

- Implement alerts using Amazon CloudWatch, SNS, Lambda, EventBridge, and other AWS services based on operational requirements.

- Monitor AWS Bedrock and LLM usage, billing, token consumption, and cost metrics.

- Identify opportunities to optimize LLM usage and reduce unnecessary cloud/AI costs.

- Work with different LLM models and understand their tokenization, pricing, context limits, and performance characteristics.





- Develop production-grade solutions for Generative AI and cloud infrastructure.

- Troubleshoot production issues across AI agents, APIs, logs, integrations, and AWS services.

- Collaborate with engineering and business teams to deliver reliable and scalable GenAI solutions.

Must-Have Skills

- AWS Bedrock – Mandatory

- Hands-on experience with AWS Bedrock Agents / Agent Core concepts

- Strong Python programming and automation skills

- Experience with Generative AI / LLMs

- Strong knowledge of AWS Cloud services

- Experience with CloudWatch, Lambda, SNS, EventBridge and alerting mechanisms

- Strong understanding of logging, monitoring, and observability

- Knowledge of LLM tokenization, prompt engineering, model usage, and cost optimization

- Experience with API integrations and data processing

- Strong troubleshooting and production support experience

Positive-to-Have Skills

- MuleSoft / MuleSoft log analysis

- Amazon Managed Grafana

- AWS Cost Explorer / AWS Billing and FinOps

- Experience building AI/LLM usage dashboards

- Experience with Bedrock Knowledge Bases and RAG

- Experience with REST APIs and middleware integrations

- Infrastructure automation / IaC

Skills: gen ai,python,aws,bedrock

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