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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