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Job Description: AI & Data – AI Manager

Fecha: 22 may 2026

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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Postúlate en Kit Empleo: kitempleo.com.ar/empleo/q2dll

📌 Manager AI Engineer - EY GDS (Buenos Aires)
🏢 Ernst & Young Advisory Services Sdn Bhd
📍 Buenos Aires