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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
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📌 Manager Ai Engineer - Ey Gds (Buenos Aires)
🏢 Ernst & Young Advisory Services Sdn Bhd
📍 Buenos Aires