Back
Niche GenAI/LLMOps skills and seniority reduce applicants despite metro location and recognizable employer.
Skills transferable across industries but platform governance and regulated healthcare preference increase domain sensitivity to medium.
Extensive mandatory GenAI, MLOps, MCP, multi-cloud, and platform architecture requirements create high shortlisting strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, evolve, and operate a shared enterprise AI platform used across multiple projects and product teams, focusing on capabilities such as GenAI, orchestration, MLOps, governance, security, and observability.
Build and maintain reusable platform services including AI/model gateways, APIs, SDKs, CI/CD pipelines, and enterprise self-service tools supporting multi-cloud (Azure, AWS, Snowflake) and multi-region deployments.
Provide hands-on production support, incident triage, troubleshooting, technical guidance, and define platform standards to ensure scalability, security, and compliance across enterprise AI services.
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related technical field.
Strong experience designing and operating enterprise AI platforms serving multiple projects or product teams.
Proficient in Python programming, API integration, GenAI/LLM platform capabilities, MLOps/LLMOps, CI/CD, cloud platforms (Azure, AWS, Snowflake), and secure scalable architecture.
Willingness to work with some overlap of US business hours for cross-regional collaboration. Work Experience Required: Not explicitly mentioned in the JD.
Senior technical contributor with strong hands-on expertise from design through implementation, deployment, and operational support of enterprise AI platforms.
Experienced in multi-cloud, multi-region architecture and integration patterns, including familiarity with MCP, LangChain/LangGraph, and AI governance/security frameworks.
Ability to independently define reusable, scalable platform standards and support cross-team adoption in complex regulated environments such as healthcare or life sciences (preferred).