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Job Description: AI & Data – AI ManagerFecha: 22 may ****About the RoleThe AI Manager leads technical strategy, oversees AI/ML engineering teams, and ensures high governance standards across enterprise AI programs. This role combines leadership, architecture, and cross-functional alignment.Key ResponsibilitiesLead AI technical strategy, architectural decisions, design and roadmap execution of AI initiatives.Oversee engineering teams delivering AI/ML and LLM-based solutions at scale.Define and enforce technical standards, governance, and responsible AI practices.Partner with business and technical stakeholders to align AI initiatives with organizational goals.Provide coaching, mentorship, and development for AI engineers.Skills & QualificationsPython & DevelopmentStrong Python (+5 years)Technical leadership; Code reviews;Definition of technical standardsWe evaluate: Technical decisions; scalability; mentoring/coaching; standardsLLMs, RAG& AgentsStrategy for RAG and agents; What we evaluate:
Strategy; risks; compliance; cost/safety criteriaAgent OrchestationAgent observability; LangchainCloud(Azure or Databricks)Databricks: Lakehouse governance & design; Lineage; granular permissions; Multi-workspace integration.Preferred: Cross-cloud residency/compliance, Cost strategy & optimizationWhat we evaluate: Compliance; standards; scalability. Standardization; architectural decisions; cost controlMLOps & DeliveryEnterprise MLOps strategy; AI FinOps;Integration with client Data GovernanceWhat we evaluate: Operation at scale; security; cost controlWhat we evaluate: Impact-driven judgmentAI Factory DesignEnd-to-end governancePreferred: Adoption roadmap; reference playbooks; maturity metricsWhat we evaluate: Vision; ecosystem orchestration; risk & compliance#J-*****-Ljbffr
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📌 Manager Ai Engineer - Ey Gds (Buenos Aires)
🏢 Ernst & Young Advisory Services Sdn Bhd
📍 Buenos Aires
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