Director, Applied Artificial Intelligence & Agentic Platform Engineering

Citi
Irving, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 300K

Job location

Irving, United States of America

Tech stack

Java
API
Artificial Intelligence
Amazon Web Services (AWS)
Application Integration Architecture
Computing Platforms
Automation of Tests
Azure
Cloud Computing
Continuous Integration
Distributed Systems
Github
Graph Database
Python
Knowledge-Based Systems
PostgreSQL
Machine Learning
MongoDB
Oracle Applications
Prometheus
Zero Trust Network Access
Secure Coding
Software Engineering
Data Streaming
Systems Integration
Enterprise Search
Cloud Platform System
Large Language Models
Snowflake
Grafana
Multi-Agent Systems
Spark
Spring-boot
Software Security
Model Validation
Apigee
Backend
Event Driven Architecture
AI Platforms
Kubernetes
Information Technology
Cassandra
Kafka
Data Management
Machine Learning Operations
Terraform
Domain Driven Design
Splunk
Software Version Control
Devsecops
Docker
Jenkins
Databricks
Microservices

Job description

As the Director of Agentic Platform Engineering, you will be a player-coach responsible for the technical vision, architecture, and execution of this greenfield platform. You will lead a world-class engineering team from the ground up, while remaining deeply technical and contributing to the core development of the platform. This is a unique opportunity to blend strategic leadership with hands-on engineering to build a product that will have a direct and measurable impact on the front lines of our business., * Platform Architecture & Development: Lead the design, architecture, and hands-on development of a scalable, secure, and resilient agentic AI platform from concept to production.

  • Technical Leadership & Hands-On Engineering: Serve as the lead engineer and technical authority, guiding critical decisions on frameworks, technologies, and infrastructure. You will be expected to write code, build prototypes, and lead by example.
  • Team Building & Mentorship: Recruit, hire, and mentor a high-performing, agile team of software and machine learning engineers. Foster a culture of innovation, excellence, and accountability.
  • Strategic Roadmapping: Partner closely with product management and senior business leaders in banking to define the product strategy and technical roadmap. Translate complex business needs into elegant technical solutions.
  • Cross-Functional Collaboration: Partner effectively with horizontal AI platform teams, enterprise architecture, and external vendor partners to leverage existing capabilities, influence roadmaps, and accelerate delivery.
  • AI & ML Integration: Drive the strategy for integrating and operationalizing Large Language Models (LLMs), agentic frameworks (e.g., Google ADK, LangChain,), and other AI/ML technologies to solve real-world banking challenges.
  • Operational Excellence: Implement and champion best-in-class engineering practices, including CI/CD, automated testing, infrastructure-as-code, and robust monitoring to ensure enterprise-grade reliability.
  • Business Impact: Define, measure, and report on key performance indicators (KPIs) related to platform adoption, user productivity, and the ultimate impact on business outcomes like wallet share growth.
  • Compliance & Security: Ensure the platform adheres to the highest standards of data privacy, security, and regulatory compliance required in the banking industry., + Cloud Platforms: Strong experience with GCP (preferred); working knowledge of AWS; Azure exposure optional (not a dependency)
  • Containers: Docker, Kubernetes (GKE/EKS)
  • IaC: Terraform
  • CI/CD: GitHub Actions, Jenkins
  • Observability: Splunk, ELK, Prometheus, Grafana
  • Security & Compliance
  • Secure coding, API security, Zero Trust
  • Data privacy, encryption, access control
  • Regulatory compliance and AI governance (MRM)

Requirements

  • Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
  • Experience: 12+ years of experience in software engineering, with at least 4+ years in a leadership role, leading high-performing engineering teams.
  • Hands-On Leader: Proven experience as a "player-coach" who can lead from the front, contribute to the codebase, and mentor junior and senior engineers.
  • Platform Building: A strong track record of designing, building, and launching scalable, distributed, cloud-native platforms from the ground up.
  • Domain Knowledge: Experience in the financial services industry (Corporate Banking, Investment Banking, FinTech) is a significant plus. An understanding of banking workflows and data is highly desirable.
  • Communication Skills: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and to articulate a clear technical vision that aligns with business goals.

Technical Skills

  • AI / GenAI / Agentic Platforms
  • LLM & Agentic Frameworks: Deep expertise in building production-grade agentic systems using GCP as primary (ADK, Vertex AI)
  • Multi-Agent Systems: Hands-on experience designing and implementing multi-agent architectures (task decomposition, coordination, orchestration, and agent-to-agent (A2A) interaction patterns)
  • Model Context Protocol (MCP) & Integrations: Experience integrating agents with enterprise tools and data sources using MCP or equivalent context-sharing patterns
  • Knowledge Graphs & Reasoning: Building and leveraging knowledge graphs for context enrichment, reasoning, and workflow automation
  • RAG & Knowledge Systems: End-to-end RAG pipelines using enterprise search + vector stores (e.g., Elastic, Pinecone) with grounding, evaluation, and optimization
  • Model Lifecycle & Governance: Model evaluation, monitoring, prompt/version control, and Responsible AI / MRM compliance
  • Enterprise AI Integration & Data
  • API- and event-driven integration of AI into enterprise workflows
  • Data platforms: Databricks, Spark, Snowflake; streaming via Kafka
  • Backend & Distributed Systems
  • Languages: Python (expert), Java/Spring Boot (enterprise standard), Go (plus)
  • Architecture: Microservices, domain-driven design, event-driven systems
  • APIs & Integration: REST/gRPC; Apigee, Kong
  • Data & Messaging: PostgreSQL/Oracle, MongoDB/Cassandra, Kafka

Benefits & conditions

  • A leadership role in a high-priority, transformative initiative with executive visibility.
  • The opportunity to build a cutting-edge AI platform from scratch.
  • A competitive compensation package including salary, bonus, and benefits.
  • A collaborative and innovative culture that values technical excellence and business impact., $170,000.00 - $300,000.00

In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

About the company

Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community and make a real impact.

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