Back
Senior, niche LLM-Ops role in a metro location reduces applicant density.
Specialized LLMOps, cloud platform and IAM requirements limit cross-industry transferability.
Explicit 8+ years, mandatory LLMOps experience and specific tech stack make screening highly strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead the development and evolution of the AI/ML platform powering organizational intelligent capabilities.
Manage and mentor a team of engineers ensuring quality, accuracy, and timely delivery of platform outputs.
Act as technical liaison across Cloud, Cybersecurity, Governance, and related teams to align platform with enterprise standards and best practices.
8+ years of industry experience in software or platform engineering.
At least 2 years working with large language model operations (LLMOps) in a production setting.
Hands-on experience with LLM/API gateway technologies (e.g., LiteLLM) and multi-cloud AI platform integrations (Azure OpenAI, Azure AI Foundry, AWS Bedrock).
Practical experience with AWS/Azure cloud-native technologies including container orchestration, secrets management, databases, networking, load balancing, plus backend development in Python asynchronous frameworks.
Experienced technical leader comfortable balancing hands-on coding with team management and governance responsibilities.
Deep knowledge of cloud-native AI/ML infrastructure, including CI/CD (Azure DevOps), infrastructure-as-code (Terraform/CloudFormation), observability (CloudWatch, Prometheus, Grafana), and identity/access management (Entra ID, JWT, OIDC).
Strategic thinker able to integrate inputs across multiple organizational domains to optimize platform scalability, quality, and compliance with evolving standards.