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# AIOps Engineer

- **Company:** Booz Allen Hamilton Inc.
- **Location:** Saint Louis, VA, United States
- **Experience:** Experienced
- **Salary:** $77,600 - $176,000
- **Contract:** Permanent contract
- **Skills:** Unity 3d, Artificial Intelligence, Amazon Web Services, Amazon S3, Audit Trail, Information Systems, Continuous Integration, DevOps, Monitoring of Systems, Python (Programming Language), Operational Data Store, Reliability Engineering, Cloud Services, Azure Machine Learning, Server Administration, Systems Integration, Data Logging, Enterprise Software Applications, System Availability, Software Application Programming, Core Api, Agentic-AI, Git, Kubernetes, Amazon Bedrock, Machine Learning Operations, Amazon Simple Queue Service (SQS), AIOps, AWS EKS, Docker, Service Stack, Databricks
- **Published:** November 4, 2026
- **Apply:** https://www.careerbuilder.com/job-details/aiops-engineer-saint-louis-mi--60dfa433-4751-42ef-9307-48e9c8e9dfdd

## About the Role

DevOps, Artificial Intelligence (AI), Operations Security (OPSEC), Operational Improvement, Artificial Intelligence (AI) Agents, Productivity Management, Enterprise Applications, Software Administration, Automation Systems, Reliability Engineering, * 5+ years of experience designing, developing, deploying, and maintaining enterprise software, intelligent automation solutions, or operational platforms

 * 3+ years of experience implementing monitoring, observability, AIOps, site reliability engineering, or platform operations capabilities, including telemetry, alerting, incident triage, and operational reporting
 * Experience designing and deploying AI agents or automated workflows for platform administration, system monitoring, governance, resource optimization, or operational support
 * Experience developing applications, services, and automation workflows using Python and integrating them with platform APIs, operational data, audit logs, or cloud services
 * Experience deploying and operating containerized applications using orchestration technologies such as Docker, Kubernetes, Helm, or AWS EKS
 * Experience integrating cloud-based logging, monitoring, and telemetry solutions to improve platform reliability, performance, scalability, and operational efficiency
 * Experience collaborating with cloud, platform, data, and cybersecurity engineers to drive technical designs from concept through implementation, and communicate technical progress, demonstrations, risks, and outcomes to stakeholders
 * TS/SCI clearance with a polygraph
 * Bachelor's degree

Nice If You Have:

 * Experience developing AI agents, copilots, or agentic workflows with human oversight for incident triage, compliance monitoring, platform administration, or user support
 * Experience with Databricks, MLflow, model monitoring, Unity Catalog, system tables, or AI/ML platform operations
 * Experience implementing cost and resource optimization capabilities using FinOps practices, usage telemetry, automated recommendations, or resource allocation workflows
 * Experience implementing event-driven automation using AWS services such as Lambda, S3 Events, SQS, EventBridge, Step Functions, or Amazon Bedrock
 * Experience creating continuous automation across infrastructure, platform, application, security, and operational technology stacks using Git-based CI/CD practices
 * Bachelor's degree in CS, Engineering, Data Science, Information Systems, or a related field
 * AWS, Kubernetes, Databricks, or similar Industry Certification