API / Integration Engineer - AI Reliability Engineering

General Dynamics Mission Systems is a leading provider of high technology solutions and services. They are seeking an API / Integration Engineer to design and build connections between AI platforms and enterprise systems, focusing on API development, data flow architecture, and integration reliability.

Responsibilities:

• System integrations. Design and build connections between the AI platform and enterprise systems — ERP (Oracle, IFS), data platforms (Snowflake), PLM, MES, CRM, and legacy databases. You figure out how to get data in and push results back
• API design and development. Build RESTful and event-driven APIs that expose enterprise data to AI services and deliver AI outputs to business applications. Clean interfaces, clear contracts, proper versioning
• Data flow architecture. Design the data pipelines that move information between systems — batch and real-time. Handle transformation, validation, and error recovery
• Integration reliability. Build monitoring, alerting, and automated recovery for integration points. When upstream systems change, your layer adapts or fails gracefully — it does not silently corrupt data
• Security and compliance. Ensure all data flows meet access control, audit, and compliance requirements. You work with Cyber to get it right, but the implementation is yours

Requirements:

• Bachelor's degree in Computer Science, Software Engineering, or a related field, plus 5 years of experience; or Master's degree plus 3 years of experience
• Production experience building API integrations between enterprise systems — ERP, CRM, data warehouses, or similar. You have connected systems that weren't designed to work together
• Strong development skills in Python and/or Java — you write integration code, not just configure middleware
• Experience with RESTful API design, event-driven architectures, and data transformation pipelines
• Database proficiency — SQL, stored procedures, schema design. You are comfortable working with both modern data platforms and legacy relational databases
• Experience with CI/CD pipelines, containerized deployment (Docker), and cloud platforms (AWS, Azure, or GCP)
• U.S. citizenship required. Department of Defense Secret security clearance is required at time of hire
• Experience integrating with Oracle E-Business Suite, IFS, SAP, or similar enterprise ERP platforms
• Experience with data streaming technologies — Kafka, event buses, change data capture (CDC)
• Experience with Snowflake, Palantir Foundry, or enterprise data platforms
• Familiarity with SOA patterns, API gateways, and service mesh architectures
• Experience building integrations that serve AI/ML systems — you understand what AI services need from data (embeddings, structured context, real-time access)