Postúlate en Kit Empleo: kitempleo.com.ar/empleo/pxv6q

Job Description: AI Code reviews; Microservices architecture; Definition of technical standards Preferred: Performance optimization; legacy-to-AI-platform migrations; Distributed systems design We evaluate : Technical decisions; scalability; mentoring/coaching; standards LLMs, RAG Governance, policies Strategy for RAG and agents; Continuous evaluation pipelines Preferred: Model/vendor selection (Azure/OpenAI/Anthropic/Mistral) What we evaluate : Strategy; risks; compliance; cost/safety criteria Agent Orchestation Agent observability; Langchain Preferred: Langraph, autogen Cloud (Azure or Databricks): Azure: Cloud architecture (security, networking, cost management, DRP); multi-cloud; AI landing zones.
Databricks: Lakehouse governance Lineage; granular permissions; Multi-workspace integration.
Preferred: Cross-cloud residency/compliance, Cost strategy standards; scalability.




Standardization; architectural decisions; cost control MLOps Model governance; AI SLAs (latency, grounding, costs); AI FinOps; Integration with client Data Governance Preferred: Hybrid MLOps (on-prem + cloud) What we evaluate : Operation at scale; security; cost control ML Fundamentals: Strategic model decisions for AI products Preferred: Model risk evaluation What we evaluate : Impact-driven judgment AI Factory Design: Cloud/vendor selection; AI infrastructure evaluation (model catalogs, vector DBs, observability); Tooling choices (Databricks, Azure AI Studio, OpenAI, Anthropic); End-to-end governance Preferred: Adoption roadmap; reference playbooks; maturity metrics What we evaluate : Vision; ecosystem orchestration; risk

Postúlate en Kit Empleo: kitempleo.com.ar/empleo/pxv6q

📌 Manager Ai Engineer - Ey Gds (Buenos Aires)
🏢 WomenTech Network
📍 Buenos Aires