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Tier-1 brand and mid-level requirement increase competition, but niche AI-platform specialization reduces broad applicant pool.
Strong AI-platform, MLOps, and enterprise data governance requirements make cross-industry transfers less straightforward.
Multiple explicit years requirements and extensive mandatory tech stack imply high shortlisting strictness.
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Build and maintain scalable, reusable AI platform capabilities focused on reducing redundant engineering toil and ensuring compliance and reliability by design.
Serve as the technical lead overseeing platform architecture integrity, development, testing, integration, and support across AI control planes, policy enforcement, and instrumentation layers.
Collaborate closely with cross-functional teams to deliver lean, adoption-validated platform enhancements aligned to enterprise AI use case patterns and governance requirements.
Bachelor's degree in computer science, software engineering, data science, machine learning, or related discipline.
5+ years of software and platform engineering experience, including mandatory Python experience and familiarity with frameworks/tools like Angular, React, BDD, Selenium, Playwright.
3+ years experience designing, building, and operating AI/ML platform or infrastructure with hands-on MLOps/LLMOps tooling, model serving, retrieval/vector infrastructure, and observability for LLMs.
3+ years cloud-native engineering experience on major cloud platforms (Azure, AWS, or GCP) including AI/ML services, container orchestration (Kubernetes, Docker), Big Data, CI/CD, and distributed systems.
Experienced in end-to-end AI/ML platform engineering including control-plane and agent-runtime patterns with expertise in policy-as-code and multi-tenant isolation.
Skilled at building secure, compliant, and operable platforms that meet SRE production standards and support scalable self-service governed AI capabilities.
Strong collaborator who effectively interfaces with engineering, SRE, security, governance, and product teams to deliver pragmatic, incremental platform solutions validated by customer needs.