Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Lead and evolve the AI/ML platform powering organizational intelligent capabilities, ensuring quality, accuracy, and timeliness of outputs.
Manage a team of engineers by setting objectives, supporting development, and maintaining platform standards aligned with enterprise and governance practices.
Act as key technical liaison across Cloud, Cybersecurity, Governance, and engineering teams to address complex engineering challenges and prioritize platform initiatives.
Minimum Requirements
8+ years of software or platform engineering experience; at least 2 years with large language model operations (LLMOps) in production.
Hands-on experience with LLM/API gateway technologies like LiteLLM or comparable and multi-provider integration with Azure OpenAI, Azure AI Foundry, AWS Bedrock.
Proficiency in cloud-native technologies on AWS/Azure including container orchestration (ECS Fargate), secrets management, databases, networking, and load balancing.
Strong backend development skills with Python and asynchronous frameworks; experience with infrastructure-as-code tools (Terraform/CloudFormation) and CI/CD tooling (Azure DevOps); 熟悉 IAM technologies including Entra ID, JWT, OIDC, and SSO.
Ideal Candidate Profile
Experienced technical leader comfortable balancing hands-on engineering with managing and setting priorities for a team to deliver scalable, high-quality platform solutions.
Expertise in large language model operations and multi-cloud AI platform integrations to operate and optimize AI/ML platforms at scale.
Deep understanding of enterprise engineering standards and governance, collaborating across cloud, cybersecurity, and governance teams to ensure compliance and platform excellence.