Senior Lead AI Engineer, Production Agent Platform

JPMorgan Chase & Co.; Buenos Aires; Presencial; ARS 166.399.000 - 272.290.000; Jornada completa

Descripción de la vacante

JPMorgan Chase & Co. is seeking a Senior Lead Software Engineer, AI Engineering, to design and implement production-grade agents and the underlying agentic platform.

You will own the end-to-end design of agents, MCP-based tooling, and secure integrations with enterprise systems, while driving safety and cost considerations. You will lead the squad technically, mentor engineers, review designs, and ensure high reliability, observability, and business impact of the agents you build, reporting to

Formación

• 8+ years of software engineering with 2+ years shipping production LLM- or agent-based systems.
• Deep hands-on Python and familiarity with at least one other modern language (TypeScript / Java / Go).
• Experience with the agentic stack: LLM orchestration, tool calling, RAG, evaluation harnesses, guardrails, prompt & model versioning, model gateways.
• Hands‑on with MCP architectures — designing servers/clients, tool schemas, capability negotiation, secure deployment patterns.
• Track record of building production-grade backend / distributed systems (APIs, queues, workers, observability, on‑call).
• Strong grounding in data platforms (Databricks / Snowflake / lakehouse patterns) and modern MLOps/LLMOps (CI/CD, feature/prompt/model registry, telemetry).
• Experience with responsible AI, security, and controls for enterprise deployments: PII handling, red-teaming, prompt-injection defense, secret & tool-use hygiene.
• Clear technical communication: design docs, PR reviews, and trade-offs explanations.

Responsabilidades

• Design and build production agents with end-to-end architecture (planner, tools, memory, retrieval, guardrails, human-in-the-loop).
• Implement MCP stack: servers/clients, tool schemas, capability negotiation, secure enterprise integration.
• Choose orchestration patterns per use case and avoid unnecessary complexity.
• Build and maintain evaluation harnesses with gold sets, offline benchmarks, and online A/B testing.
• Instrument agents with business KPIs and quality KPIs; collaborate on cyber, privacy, and model risk guardrails.
• Own SRE for agents: SLOs, runbooks, on-call rotation, canaries, circuit breakers, rollback paths.
• Contribute to shared agentic platform: orchestration, model gateway, vector stores, telemetry, eval harness.
• Provide technical leadership through code reviews, pairing, and design reviews; mentor engineers.

Conocimientos

LLM- and agent-based systems

Python

TypeScript/Java/Go

MCP architectures

Backend / distributed systems

Databricks / Snowflake / lakehouse

MLOps / LLMOps

Security / Responsible AI

Educación

Bachelor's in Computer Science or related

Herramientas

LangGraph

LlamaIndex

Semantic Kernel

Tool calling

Model gateways

CI/CD tooling

Descripción del empleo

JPMorgan Chase & Co. is seeking a Senior Lead Software Engineer, AI Engineering, to design and implement production-grade agents and the underlying agentic platform.

You will own the end-to-end design of agents, MCP-based tooling, and secure integrations with enterprise systems, while driving safety and cost considerations. You will lead the squad technically, mentor engineers, review designs, and ensure high reliability, observability, and business impact of the agents you build, reporting to