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Tier-1 brand, mid-level cloud role, metro location, and hybrid remote increase applicant competition.
Role is technical and transferable, but GenAI and healthcare platform experience increases domain specificity.
Explicit 6–8 year requirement, 3 years platform support, and tool/DevOps mandates make filters strict.
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Design, implement, and deploy scalable AI solutions focusing on platform support, including triage, design, and cloud deployment.
Support and monitor AI platforms leveraging large language models (LLMs) and Gen AI capabilities to ensure performance, availability, security, and capacity.
Collaborate with business partners and IT teams to understand system requirements, approve production deployments, and drive portal integrations, enhancements, and automation within Agile methodology.
6-8 years total work experience with at least 3 years in platform support role for full stack applications, preferably in AI domain.
2+ years experience or exposure to DevOps practices.
Degree in Computer Science, Artificial Intelligence or related field.
Knowledge and experience with backend languages (Python, Node.js), APIs (RESTful, Flask/FastAPI/GraphQL), containerization (Docker, Kubernetes/OpenShift), cloud platforms (AWS or Azure), and CI/CD tools (GitHub Actions, Jenkins).
Experienced full stack engineer with strong platform support skills, particularly in AI or Gen AI environments.
Skilled in cloud-based deployments and DevOps workflows, able to manage monitoring, security, and production approvals.
Comfortable working in agile teams, collaborating with diverse technical and business stakeholders in a healthcare-related technology context.