





Tier-1 brand and metro role but niche platform+SAP specialization reduces candidate pool.
Requires specialized SAP CPI, SuccessFactors and AI-platform experience, limiting cross-industry transferability.
Multiple mandatory years and specialized AI platform, cloud, and SAP CPI skill requirements enforce strict filters.
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Own the design, development, and operation of AI/ML platform capabilities and infrastructure to support multiple engineering teams, focusing on reusable, scalable solutions that reduce effort and ensure compliance.
Lead cross-functional collaboration with engineering, SRE, security, and data governance teams to deliver secure, reliable, and compliant platform services, with responsibility for platform integrity and adoption outcomes.
Provide technical leadership and mentorship, driving architecture, implementation quality, and continuous improvement of platform services including SAP CPI integrations and AI/ML tooling within cloud-native environments.
Bachelor's degree in Computer Science, Software Engineering, Data Science, Machine Learning, or related field (experience prioritized).
6+ years software/platform engineering experience with mandatory Python; experience with Angular, React, NodeJS, C#, .NET, Java, Rust, SQL/NoSQL, PyTorch, TensorFlow, and related testing tools helpful.
3+ years experience designing/building/operating AI/ML platforms, including hands-on with MLOps/LLMOps, model serving, retrieval/vector infrastructure, and observability tooling for LLM integration.
Strong expertise in SAP CPI Cloud Integrations, SAP SuccessFactors, middleware, and related technologies including Groovy, XSLT, JavaScript, Message mapping, with SAP & non-SAP systems integration experience.
Experienced leader capable of managing complex cross-functional engineering projects, delivering end-to-end platform solutions at scale with a focus on AI/ML and SAP CPI integrations.
Practitioner with deep operational and hands-on technical knowledge of cloud-native AI platforms, container orchestration (Kubernetes/Docker), CI/CD, and distributed systems within hyperscaler environments (Azure, AWS, GCP).
Strategic thinker comfortable navigating evolving requirements via incremental, adoption-validated delivery approaches, collaborating closely across product, engineering, and operational teams to meet business and compliance objectives.