API / Integration Engineer - AI Reliability Engineering
About The Position
This role focuses on designing and building connections between the AI platform and enterprise systems, including ERP (Oracle, IFS), data platforms (Snowflake), PLM, MES, CRM, and legacy databases. The engineer will be responsible for creating RESTful and event-driven APIs, designing data pipelines for batch and real-time information flow, and ensuring the reliability, security, and compliance of integration points. Unlike typical integration roles, this position involves solving complex interoperability challenges between systems with varying technological ages and documentation levels, directly impacting AI systems that make critical business decisions. The engineer will have direct access to enterprise system teams and the authority to define integration contracts.
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).
- Strong development skills in Python and/or Java.
- Experience with RESTful API design, event-driven architectures, and data transformation pipelines.
- Database proficiency including SQL, stored procedures, and 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.
Nice To Haves
- 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).
- 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.
Responsibilities
- Design and build connections between the AI platform and enterprise systems (ERP, data platforms, PLM, MES, CRM, legacy databases).
- Build RESTful and event-driven APIs to expose enterprise data to AI services and deliver AI outputs to business applications.
- Design data pipelines for batch and real-time information flow, including transformation, validation, and error recovery.
- Build monitoring, alerting, and automated recovery for integration points to ensure reliability and graceful failure.
- Ensure all data flows meet access control, audit, and compliance requirements, working with Cyber teams for implementation.
- Solve interoperability problems between systems spanning decades of technology, including modern cloud APIs and legacy databases.
- Ensure data quality and reliability for integrations feeding AI systems that make real business decisions.
- Define integration contracts with direct access to enterprise system teams.
Benefits
- Highly competitive benefits
- Flexible work environment where contributions are recognized and rewarded
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
