Description Job TitleAI DevOps Engineer
Company OverviewA well-established and growing organization in the consumer products and retail space, based in Los Angeles, CA, is leveraging advanced technologies to modernize operations and drive innovation. The company is committed to integrating AI-driven solutions to improve scalability, efficiency, and decision-making across the business. With a collaborative and forward-thinking culture, they prioritize continuous improvement and technology-driven growth.
Role SummaryThe AI DevOps Engineer will play a critical role in designing, deploying, and scaling AI-driven systems in a production environment. Based in Los Angeles, CA, this position focuses on building robust CI/CD pipelines, enabling reliable AI operations, and ensuring secure, scalable infrastructure. This role partners closely with both technical and business stakeholders to operationalize AI solutions and drive enterprise-wide adoption.
Key Responsibilities- Design and implement CI/CD pipelines for AI applications and services
- Build and manage scalable AI deployment frameworks and infrastructure
- Establish best practices for AI operations, including monitoring, reliability, and cost optimization
- Automate infrastructure provisioning and configuration using modern DevOps tools
- Develop observability solutions to ensure high system performance and uptime
- Implement secure deployment practices and maintain strong access controls
- Operationalize AI platforms and integrate them into business workflows
- Collaborate with cross-functional teams to identify opportunities for AI-driven scaling
- Educate internal stakeholders on AI capabilities, tools, and operational best practices
- Contribute to long-term infrastructure and AI platform strategy
Compensation & Benefits- $160,000 - $185,000 with discretionary bonus
- Annual bonus eligibility
- Comprehensive health benefits including medical, dental, and vision coverage
- Additional perks and employee-focused programs
Additional Details- Hybrid work model (onsite four days per week, remote flexibility one day per week)
- High-impact role with visibility across technical and business teams
- Opportunity to help build and scale AI operations within a growing organization
Requirements Required Qualifications- Strong experience building and managing CI/CD pipelines (e.g., GitHub Actions or similar)
- Hands-on experience with major cloud platforms (AWS, Azure, or Google Cloud Platform)
- Experience with infrastructure automation and containerization concepts
- Knowledge of AI/ML deployment workflows and operational best practices
- Strong understanding of system reliability, monitoring, and observability tools
- Experience implementing secure infrastructure and access control frameworks
- Excellent communication skills with the ability to collaborate across technical and business teams
Preferred Qualifications (Nice-to-Haves)- Experience supporting or deploying generative AI platforms in production environments
- Familiarity with AI cost management and performance optimization strategies
- Background in scaling enterprise-grade distributed systems
- Experience mentoring or leading engineering initiatives
- Exposure to AI governance and compliance frameworks
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