Senior AI Cloud Engineer (AWS Bedrock & Generative AI)
Enexus Global Inc.Role Overview
Enexus Global Inc. is hiring a Senior AI Cloud Engineer (AWS Bedrock & Generative AI). This is a full-time role in Amravati. posted 2 weeks ago. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
Job Title: Senior AI Cloud Engineer (AWS & Generative AI) Location: Pune, India Role Type: Contract Role Overview We are seeking a highly technical Cloud Engineer to build and optimize our Generative AI infrastructure. This role focuses on deploying AWS Bedrock agents, automating workflows with Python, and creating robust observability and billing pipelines for LLM usage. You will be responsible for ensuring that our AI services are not only functional but also cost-effective and highly monitored through advanced logging and alerting.
Key Responsibilities - AI Agent Orchestration: Design and deploy specialized agents using AWS Agents for Amazon Bedrock to automate complex multi-step business processes.
- Observability & Alerting: Build end-to-end "Data Log" pipelines. Identify and implement the correct AWS services for alerting (e.g., CloudWatch, SNS, or Lambda) based on log anomalies.
- Integration & Middleware: Manage and analyze Mulesoft logs to ensure seamless connectivity between legacy systems and modern AI services.
- Financial Operations (FinOps): Monitor billing metrics for LLM usage and AWS Bedrock services to prevent cost overruns and optimize token consumption.
- Python Automation: Write production-grade Python scripts for data processing, agent logic, and infrastructure automation.
Technical
Requirements (The "Must-Haves") - Core AWS AI Services: Hands-on experience with AWS Bedrock and AWS Agent Core logic.
- Programming: High proficiency in Python (specifically for data manipulation and API integrations).
- Logging & Monitoring: Deep understanding of log aggregation.
Experience with Mulesoft logs is a significant plus.
- Alerting Frameworks: Ability to determine which AWS service to use for specific alerts (CloudWatch Alarms vs. EventBridge vs.
Managed
Grafana).
- LLM Knowledge: Understanding of how LLMs work, including tokenization, prompt engineering, and the cost structure of different models.
Frequently Asked Questions
How do I apply for the Senior AI Cloud Engineer (AWS Bedrock & Generative AI) position at Enexus Global Inc.?
Use the Apply button above to submit your application directly to Enexus Global Inc.. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Senior AI Cloud Engineer (AWS Bedrock & Generative AI) position at Enexus Global Inc. located?
This position is based in Amravati. Enexus Global Inc. has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Senior AI Cloud Engineer (AWS Bedrock & Generative AI) at Enexus Global Inc. earn?
Enexus Global Inc. has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Senior AI Cloud Engineer (AWS Bedrock & Generative AI) role at Enexus Global Inc. posted?
This role was posted on May 21, 2026 (18 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
How much experience does the Senior AI Cloud Engineer (AWS Bedrock & Generative AI) role at Enexus Global Inc. require?
This is a senior-level position. Most senior roles call for 5+ years of directly relevant experience. Enexus Global Inc. lists their specific requirements in the description below, so review the must-have qualifications closely before applying.
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