Forward-Deployed AI Engineering Director

Citigroup Inc.; Jersey City (NJ); On-site; USD 170,000 - 300,000; Full time

Benefits offered by this job

Remote-friendly discussions

Job summary

Citigroup Inc. in Jersey City seeks a Director‑level Forward Deployed Engineer to lead AI‑powered Citi Payment Express initiatives.

You will blend hands‑on software engineering with strategic leadership, shaping production‑grade solutions across multiple markets and stakeholder groups. You will mentor a high‑performing team, drive platform reliability on Kubernetes/AWS, and advance PDLC practices using ADK, MCP Servers, and modern data‑driven metrics.

Qualifications

• 15+ years of senior engineering leadership or equivalent experience.
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Responsibilities

• Lead CPX market strategy, architecture, and delivery roadmap.
• Oversee rapid deployment of solutions into production.
• Mentor and grow a high-performing engineering team.
• Design and build AI agent solutions using ADK and MCP Servers.
• Develop scalable Python/Java APIs and full-stack services.
• Operate services on Kubernetes and AWS with cloud-native architecture.
• Champion PDLC best practices and measure engineering KPIs.
• Manage platform migration and integration across ARC and AgentFlow.
• Partner with senior leaders to align delivery with business priorities.

Skills

Senior engineering leader

Engineering manager

Technical architect

Leadership

PDLC

CI/CD

Automated testing

DORA metrics

Forward Deployed Engineering

Architectural skills

Education

Bachelor’s degree or equivalent

Master’s degree preferred

Tools

Kubernetes

Docker

AWS

Google ADK

Model Context Protocol (MCP) Servers

Apache Kafka

RabbitMQ

Google Pub/Sub

Job description

Citigroup Inc. in Jersey City seeks a Director‑level Forward Deployed Engineer to lead AI‑powered Citi Payment Express initiatives.

You will blend hands‑on software engineering with strategic leadership, shaping production‑grade solutions across multiple markets and stakeholder groups. You will mentor a high‑performing team, drive platform reliability on Kubernetes/AWS, and advance PDLC practices using ADK, MCP Servers, and modern data‑driven metrics.