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Tier-1 employer increases applicant density, but niche LLM/platform specialization keeps competition moderate.
Role requires niche LLM platform and platform engineering expertise, limiting cross-industry transferability.
Multiple explicit years requirements and mandatory LLM/platform and security/CI skills create strict shortlisting.
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Own design, documentation, and configuration of systems to meet architecture standards and business requirements, ensuring system functionality and performance.
Lead planning and deployment of systems with compliance to hardware/software security standards and enterprise governance.
Strategically design and optimize LLM platform solutions, including integration requirement gathering, testing, and maintenance of production environments.
Bachelor’s degree in Computer Science, Engineering, or related technical discipline.
7+ years total work experience; minimum 6-8 years as Platform Engineer, AIOps Engineer, AI/ML Operations Engineer, or Automation Engineer supporting enterprise platforms.
3+ years experience with LLM platforms, embeddings, vector & graph databases, prompt management, and ingestion pipelines in production.
2-3 years experience with Git-based repositories and CI/CD platforms (preferably GitLab or GitHub); strong Linux (RHEL) and platform security knowledge including IAM and secrets management (CyberArk, HashiCorp Vault, or equivalent).
Experienced platform engineer comfortable with end-to-end system design, deployment, and operational optimization in enterprise environments.
Proficient in integrating and maintaining advanced LLM/AI platforms, with strong architectural planning and compliance orientation.
Skilled in automation, security governance, and version-controlled deployment pipelines, able to collaborate across technology vendors and teams effectively.