Informacje o stanowisku

Co‑create AI vision, KPI tree, and prioritized use‑case portfolio with business leaders. ~ Lead cross‑functional pods (data, platform, app, safety, SRE) from discovery through production. ~ Design A/B and canary rollout strategies;

AI system engineering ~Architect and guide implementation of LLM/RAG/agent solutions, including retrieval quality, prompt/policy engineering, guardrails, and evaluation harnesses. ~ Stand up policy‑as‑code, model/prompt versioning, access controls, data residency, and vendor risk assessments. ~ manage expectations. ~ Run demos, evidence‑based decisions, and post‑incident reviews. ~ reduce burden through automation. Must‑have skills: ~ Proven ability to align executives and guide cross‑functional teams without formal authority. ~ Translates technical topics (LLMs, safety, SOs) into business terms and tradeoffs. ~ comfort with A/B testing, canary rollouts, and ROI models. ~ Practical understanding of data governance, privacy, and AI safety guardrails;

Hands‑on AI systems integration ~ SLI/SLO design, error budgets, incident management, observability, CI/CD for prompts/policies/indexes. ~ Manufacturing/OT/IoT/Edge AI experience;

familiarity with devicedata and shop‑floor constraints. ~ Microsoft Azure: Azure OpenAI, Cognitive Search, API Management, App Service/AKS, Functions, Event Hubs, Key Vault, Monitor;

Azure ML or equivalent. Nice‑to‑have skills ~ SAP ecosystem awareness (SAP/S4H processes and integration points for AI governance). ~ Data and knowledge systems ~ Knowledge graphs/ontologies, hybrid retrieval (vector + keyword), embeddings, data contracts. ~ Red‑teaming methods, PII/PHI handling, content moderation pipelines, audit trails. ~ Cost and performance engineering ~ token/call cost controls. 7–12+ years in software/AI product delivery with 3+ years leading cross‑functional initiatives. ~ Track record of shipping AI or data‑intensive systems to production in enterprise settings. ~ Demonstrated practice of Site Reliability Engineering (SRE)/AIOps concepts (SLOs, incident response, observability).

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