AI Operations Engineer; Python, AWS – Remote

Position: AI Operations Engineer (Python, AWS) – Remote

Overview

Employer Industry: Insurance and Financial Services Why consider this job opportunity

• Salary up to $155,000, plus annual bonus opportunity
• 401(k) plan with a 2% company contribution and 6% company match
• Work-life balance with vacation, personal time, and paid holidays
• Opportunity to work remotely with access to a high-speed internet connection
• Engage in a culture of diversity and inclusion, valuing different ideas and opinions
• Chance to collaborate with Data Science teams on innovative AI solutions What to Expect (Job Responsibilities)
• Operate and maintain AI applications running on AWS Bedrock and Sage Maker, ensuring uptime, reliability, and scalability
• Implement observability practices, including monitoring, logging, and alerting for AI services
• Partner with Data Scientists and engineers to ensure deployed models and APIs meet performance and reliability requirements
• Automate operational tasks such as scaling, deployments, and incident response
• Stay current on best practices in AI operations, generative AI services, and cloud-native observability What is Required (Qualifications)
• 5+ years of professional development experience, including building and deploying applications with Python
• Familiarity with AWS services including Bedrock, Sage Maker, Lambda, and infrastructure as code (CDK, Terraform, or Cloud Formation)
• Practical experience with monitoring and observability stacks (e.g., Cloud Watch, Prometheus, Grafana)
• Knowledge of deploying and operating AI/ML applications in production environments
• Strong collaboration and problem-solving skills, with the ability to work across Data Science and Engineering teams How to Stand Out (Preferred Qualifications)
• Experience with incident management, reliability engineering, or SRE practices
• Familiarity with vector databases, orchestration frameworks (Lang Chain, Ray, MCP), or RAG-based architectures
• Exposure to optimizing generative AI models for performance and scalability in production

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