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Job Description: AI & Data – AI Manager Fecha: 22 may **** About the Role The 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 Responsibilities Lead 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 & Qualifications Python & Development Strong Python (+5 years) Technical leadership; Code reviews; Definition of technical standards We evaluate : Technical decisions; scalability; mentoring/coaching; standards LLMs,



RAG & Agents Strategy for RAG and agents; What we evaluate : Strategy; risks; compliance; cost/safety criteria Agent Orchestation Agent observability; Langchain Cloud (Azure or Databricks) Databricks: Lakehouse governance & design; Lineage; granular permissions; Multi-workspace integration.
Preferred: Cross-cloud residency/compliance, Cost strategy & optimization What we evaluate : Compliance; standards; scalability.
Standardization; architectural decisions; cost control MLOps & Delivery Enterprise MLOps strategy; AI FinOps; Integration with client Data Governance What we evaluate : Operation at scale; security; cost control What we evaluate : Impact-driven judgment AI Factory Design End-to-end governance Preferred: Adoption roadmap; reference playbooks; maturity metrics What 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