API / Integration Engineer - AI Reliability Engineering

Role Description

This position involves the following 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.
• API design and development: Build RESTful and event-driven APIs that expose enterprise data to AI services and deliver AI outputs to business applications.
• Data flow architecture: Design the data pipelines that move information between systems — batch and real-time.
• Integration reliability: Build monitoring, alerting, and automated recovery for integration points.
• Security and compliance: Ensure all data flows meet access control, audit, and compliance requirements.

What You Won't Own:

• AI model development or prompt engineering — that's the AI Engineers' job.
• Enterprise system administration — you integrate with systems, you don't manage them.
• Platform architecture decisions — you implement the integration patterns the Lead Architect defines.

What Makes This Role Different:

• You are solving interoperability problems between systems spanning decades of technology.
• Your integrations feed AI systems that make real business decisions.
• You will have direct access to enterprise system teams and the authority to define integration contracts.

Qualifications

• 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.
• Strong development skills in Python and/or Java.
• Experience with RESTful API design, event-driven architectures, and data transformation pipelines.
• Database proficiency — SQL, stored procedures, schema design.
• 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.

Requirements

• 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.

Benefits

• Remote — 100% telework.
• 9/80 schedule.
• Defense industry experience is not required.

Salary Note

This estimate represents the typical salary range for this position based on experience and other factors (geographic location, etc.). Actual pay may vary. This job posting will remain open until the position is filled.

Combined Salary Range: USD $118,519.00 - USD $131,482.00 /Yr.

Company Description

General Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation.

• Global team of 12,000+ top professionals.
• Partnerships with the best in industry to expand the bounds of innovation in the defense and scientific arenas.
• Values trust, honesty, alignment and transparency.
• Offers highly competitive benefits and a flexible work environment.