Artificial Intelligence Engineer

Ranger Technical Resources; Georgia; On-site; USD 120,000 - 150,000; Full time

Job summary

A U.S.-based international bank is seeking a Senior AI Developer to architect and deploy production-grade AI systems that enhance operational efficiency. This role involves designing AI agent systems using Gemini Enterprise and building predictive models for fraud detection, AML investigations, and reporting. Candidates should have a BS in Computer Science or equivalent, along with experience in deploying AI solutions in enterprise environments. This position requires hands-on architecture with a significant impact on the financial sector.

Qualifications

• Background building production-grade AI or ML systems in enterprise environments.
• Hands-on work deploying solutions within the Google Cloud Platform.
• Background in financial services, fintech, fraud detection, or regulated healthcare.

Responsibilities

• Design and deploy AI agents within Gemini Enterprise.
• Architect end-to-end AI systems integrated with core banking platforms.
• Build predictive models for fraud detection and AML processes.
• Collaborate with risk, compliance, and business stakeholders.

Skills

Retrieval Augmented Generation

Multi-Agent Orchestration

Tool Calling

API Integration

BigQuery ML

Predictive Modeling

Regression Modeling

Time Series Forecasting

MLOps

Explainable AI

Education

BS in Computer Science or equivalent

Job description

Our partner is a U.S.-based international bank advancing core financial operations through secure, enterprise-grade artificial intelligence within a highly regulated environment. As part of this evolution, they are adding a Senior AI Developer to architect and deploy production-grade AI systems that replace legacy workflows and enhance operational efficiency. In this role, you would design AI agent systems using Gemini Enterprise, integrate them into core banking platforms, and build predictive models supporting fraud detection, AML investigations, loan processing, and reporting. This is hands‑on architecture with real enterprise impact, requiring solutions that are innovative, auditable, and compliant.

Experience and Education

• BS in Computer Science, Information Technology, Software Engineering, or equivalent experience/field
• Background building production-grade AI or ML systems in enterprise environments
• Hands‑on work deploying solutions within the Google Cloud Platform
• Prior exposure to AML, fraud review, or compliance‑driven systems
• Proven ability to design system architecture rather than only contributing code
• Demonstrated capability in integrating AI systems with APIs and backend services
• Background in financial services, fintech, fraud detection, risk modeling, or regulated healthcare

Skills and Strengths

• Retrieval Augmented Generation
• Multi‑Agent Orchestration
• Tool Calling
• API Integration
• BigQuery ML
• Predictive Modeling
• Regression Modeling
• Time Series Forecasting
• MLOps
• Explainable AI

Primary Job Responsibilities

• Design and deploy AI agents within Gemini Enterprise
• Architect end‑to‑end AI systems integrated with core banking platforms
• Implement Retrieval Augmented Generation frameworks
• Build predictive models for fraud detection and AML processes
• Develop time‑series forecasting models to support financial decision‑making
• Establish governance guardrails and compliance controls within AI systems
• Implement model monitoring, drift detection, and performance benchmarking
• Collaborate with risk, compliance, and business stakeholders
• Evaluate and recommend AI tools and architectures within the existing Google Cloud ecosystem, ensuring alignment with business and compliance objectives
• Integrate AI agents with APIs, databases, and core banking systems
• Communicate technical decisions clearly to executive leadership
• Replace legacy manual workflows with secure AI‑driven automation
• Ensure auditability and explainability across all AI implementations