Senior AI Eng Leader: Agentic Ops & Code Review (Remote)

Outlier; Quilmes; Remote; ARS 276,723,000 - 461,205,000; Full time

Job summary

Outlier in Buenos Aires is seeking a Senior Director Software Engineer, AI Engineering to own the end-to-end technical direction of the DEX products. You will lead a multidisciplinary team, design systems, and drive production deployment of flagship AI agents used by employees.

You will mentor engineers, set engineering standards, and partner with product, IT, cyber, and controls to deliver reliable, cost-effective, and compliant AI-powered employee experiences.

Qualifications

• 12+ years of software engineering experience, including 5+ years leading engineers and 3+ years shipping production ML/AI.
• Hands-on experience with modern languages (Python, TS, Java, Go) and polyglot codebases.
• Proven track record designing large-scale distributed systems in production with SLOs and costs.
• Experience with agentic stacks, LLM orchestration, RAG, evaluation harnesses, guardrails, and MCP.
• Strong data platforms experience (Databricks/Snowflake) and modern MLOps/LLMOps.

Responsibilities

• Own end-to-end technical direction and architecture for Digital Employee Experience and flagship agents.
• Define and evolve the stack, balance make-vs-buy, and set the golden path for rapid, safe shipping.
• Lead squads through architecture reviews, code quality standards, and design docs.
• Partner with security, controls, and audit teams to enforce responsible AI and data hygiene.
• Communicate trade-offs, risks, and progress to Managing Directors and executives.

Skills

Leadership

Distributed systems

ML/AI deployment

Python

TypeScript

Java

Go

Education

Bachelor's in CS

Tools

LangGraph

LlamaIndex

Semantic Kernel

Databricks

Snowflake

CI/CD

Job description

Outlier in Buenos Aires is seeking a Senior Director Software Engineer, AI Engineering to own the end-to-end technical direction of the DEX products. You will lead a multidisciplinary team, design systems, and drive production deployment of flagship AI agents used by employees.

You will mentor engineers, set engineering standards, and partner with product, IT, cyber, and controls to deliver reliable, cost-effective, and compliant AI-powered employee experiences.