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Strong employer brand and metro location increase candidate density despite niche AI+SAP skillset.
Role requires niche SAP HR/payroll and AI-platform expertise, limiting cross-industry transferability.
Multiple mandatory years and specialized AI-platform plus SAP ABAP skills create stringent filtering.
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Lead design, build, and operation of AI/ML platform infrastructure and tooling that platforms other engineering teams rely upon, ensuring reusability and high adoption.
Own technical leadership for platform as a product including requirements gathering, architecture, development, testing, integration, and support.
Drive outcome-focused platform solutions with cross-functional collaboration, emphasizing lean incremental delivery, compliance, and high platform KPIs (adoption, reliability, developer experience).
Bachelor’s degree in computer science, software engineering, data science, machine learning, or related discipline.
6+ years software and platform engineering experience, mandatory proficiency in Python; preferred skills include Angular, React, NodeJS, C#, .NET, Java, Rust, SQL/NoSQL, PyTorch, TensorFlow, Terraform, and modern testing tools.
3+ years hands-on experience designing, building, and operating AI/ML platforms; tooling for MLOps/LLMOps, model serving, vector infrastructure, and observability.
3+ years cloud-native engineering experience on Azure, AWS, or GCP including AI/ML services, container orchestration (Kubernetes/Docker), Big Data, CI/CD at platform scale, and distributed systems.
Experienced leader capable of mentoring and guiding engineering teams and establishing engineering standards treating the platform as a product.
Strong domain expertise in AI/ML infrastructure, platform engineering, enterprise data governance, and AI control-plane development including policy-as-code and multi-tenant isolation.
Proven ability to deliver scalable, instrumented, secure, and compliant AI platforms in complex cross-functional environments using modern DevSecOps, SRE, and agile methodologies.