Senior AI/ML & Agentic Engineer (Full-Stack)

Citi; Jacksonville (TX); On-site; USD 107,000 - 161,000; Full time

Job summary

Citi in Irving, Texas seeks a Senior AI/ML & Agentic AI Engineer to design, develop, and integrate cutting-edge AI/ML and agentic AI solutions across enterprise engineering processes. You will build scalable AI systems with Python and Java, and partner with AI architects, product owners, and cross-functional teams within the Engineering Excellence framework.

Responsibilities include leading end-to-end AI deployments, managing CI/CD pipelines, Docker/Kubernetes, cloud platforms (AWS/Azure/GCP),

Qualifications

• Bachelor’s degree or equivalent experience.
• Strong knowledge of Python and Java for AI/ML backend systems.
• Experience with Docker/Kubernetes and cloud platforms (AWS/Azure/GCP).
• Proven ability to lead cross‑functional teams and deliver in agile environments.
• Commitment to ethical AI and regulatory compliance.

Responsibilities

• Design, develop, and integrate AI/ML and agentic AI solutions.
• Lead end-to-end AI deployments and manage CI/CD pipelines.
• Provide technical oversight across AI/ML, data, and backend services.
• Collaborate with architects, product owners, and engineers across the enterprise.
• Ensure security, privacy, and compliance in AI workflows.

Skills

Polyglot Programming

AI/ML & Agentic AI

Database Technologies

Cloud Platforms

CI/CD & DevOps

Security & Compliance

Education

Bachelor’s/University degree or equivalent experience

Tools

Python

Java

Docker

Kubernetes

AWS

Azure

GCP

CI/CD tools

Job description

Citi in Irving, Texas seeks a Senior AI/ML & Agentic AI Engineer to design, develop, and integrate cutting-edge AI/ML and agentic AI solutions across enterprise engineering processes. You will build scalable AI systems with Python and Java, and partner with AI architects, product owners, and cross-functional teams within the Engineering Excellence framework.

Responsibilities include leading end-to-end AI deployments, managing CI/CD pipelines, Docker/Kubernetes, cloud platforms (AWS/Azure/GCP),