Role Description What You'll Own: - 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. - 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. - With a global team of 12,000+ top professionals, we partner with the best in industry to expand the bounds of innovation in the defense and scientific arenas. - We value trust, honesty, alignment and transparency. - We offer highly competitive benefits and pride ourselves in being a great place to work with a shared sense of purpose. - You will also enjoy a flexible work environment where contributions are recognized and rewarded.