Lead AI Engineer for Production Agentic Platforms

Fairygodboss; Buenos Aires; Presencial; ARS 4.000.000 - 9.000.000; Jornada completa

Descripción de la vacante

J.P. Morgan is seeking a Senior Lead Software Engineer, AI Engineering, to lead hands-on work building production-grade AI agents and the agentic platform.

You will design, implement, and evaluate end-to-end agents, pair with engineers, and mentor squads while owning correctness, safety, and business impact. You will collaborate with cyber, privacy, and model risk teams to implement guardrails, PII handling, and secure deployment.

Formación

• 8+ years of software engineering experience, with 2+ years shipping production LLM- or agent-based systems to real users.
• Deep hands-on Python experience; familiarity with at least one other modern language (TypeScript/Java/Go).
• Experience with agentic stack: LLM orchestration, tool calling, RAG, evaluation harnesses, guardrails, versioning.
• Hands-on with MCP architectures: servers/clients, tool schemas, capability negotiation, secure deployment.
• Track record building production backend / distributed systems (APIs, queues, observability, on-call).
• Data platforms (Databricks / Snowflake) and modern MLOps/LLMOps (CI/CD, telemetry).
• Experience with responsible AI, security, and enterprise controls (PII, prompts, secret handling).
• Clear technical communication: design docs, persuasive PR reviews, stakeholder discussions.
• Bachelor's in Computer Science or equivalent industry experience.

Responsabilidades

• Design and build production agents: end-to-end design, planner/tools/memory/RAG/guardrails.
• Implement MCP stack: write MCP servers/clients, tool schemas, secure integration.
• Choose orchestration patterns per use case; avoid unnecessary complexity.
• Build and maintain evaluation harnesses: gold sets, offline/online evaluation, CI/CD gates.
• Instrument agents with KPIs: deflection, time-to-resolution, CSAT, cost per interaction.
• Collaborate with cyber/privacy/model risk for guardrails, data handling, prompt defense.
• Own SRE aspects: SLOs, runbooks, on-call; canaries, circuit breakers, replay paths.

Conocimientos

Python (primary)

LLM/agent systems

TypeScript/Java/Go

MCP (Model Context Protocol)

Distributed backend APIs

Databricks/Snowflake

Security/compliance (enterprise)

Technical leadership (IC)

Educación

Bachelor's in Computer Science or related

Equivalent industry experience

Herramientas

LangGraph

LlamaIndex

Semantic Kernel

ServiceNow / enterprise tools

CI/CD tooling

Descripción del empleo

J.P. Morgan is seeking a Senior Lead Software Engineer, AI Engineering, to lead hands-on work building production-grade AI agents and the agentic platform.

You will design, implement, and evaluate end-to-end agents, pair with engineers, and mentor squads while owning correctness, safety, and business impact. You will collaborate with cyber, privacy, and model risk teams to implement guardrails, PII handling, and secure deployment.