Business Systems AI Engineer

Mercury Systems•Andover, MA

11d

About The Position

The Business Systems AI Engineer is a technical contributor who designs, implements, and maintains intelligent, automated, and scalable solutions across Mercury’s business systems. The role combines application engineering with modern AI capabilities to improve efficiency, data accessibility, and decision-making. The engineer partners with business stakeholders, platform owners, and cross-functional teams to deliver secure and compliant solutions aligned with Mercury’s digital transformation and AI adoption strategy. The position develops AI-driven features and enterprise automation pipelines; integrates core platforms including Oracle, Salesforce, Foundry, and low-code systems; and maintains application logic and reusable components for Business Systems workflows. It also supports analytics, dashboards, data governance, lineage tracking, and compliance, while contributing to architecture, system standards, platform strategy, documentation, training, and operational procedures. Access to certain information is subject to U.S. export regulations. Access is limited to U.S. citizens, lawful permanent residents, protected individuals as defined by 8 U.S.C. 1324b(a)(3), or individuals eligible to obtain the required U.S. government authorizations.

Requirements

Bachelor’s degree in Information Systems, Computer Science, Engineering, or equivalent experience.
At least 4 years of experience in application engineering, enterprise systems integration, or custom application development.
Hands-on experience with AI-enabled tools, automation frameworks, and modern integration technologies.
Strong proficiency in Python, SQL, or similar languages used for automation and data processing.
Ability to translate business requirements into scalable technical solutions with measurable impact.

Nice To Haves

Experience designing AI-driven workflows or developing predictive models.
Experience with low-code tools such as Mendix.
Familiarity with Foundry, Power Platform, Salesforce, or Oracle Fusion integration patterns.
Knowledge of enterprise AI governance, data protection controls, or secure model deployment.
Certifications in cloud, AI, or platform engineering, such as PL-300, Power Platform, or AWS/Azure AI specialties.

Responsibilities

Design, develop, and operationalize AI-driven features, including predictive analytics, intelligent workflow automation, and NLP-based process enhancements.
Build and manage enterprise-grade automation pipelines to reduce manual effort and improve system reliability.
Engineer scalable, secure integrations between core systems such as Oracle, Salesforce, Foundry, and low-code platforms.
Develop and maintain application logic, transformation code, and reusable components for Business Systems workflows.
Implement advanced analytics, dashboards, and insights using AI, machine learning, and automation frameworks.
Support data governance, lineage tracking, and compliance requirements across integrated enterprise platforms.
Contribute to architectural design discussions, system standards, and long-term platform strategy.
Ensure solutions follow Mercury’s AI governance policies, cybersecurity requirements, and data protection standards.
Produce documentation, training materials, and operational procedures consistent with Business Systems practices.