Platform Innovation Engineer

Rockville, MD

Full-time

Onsite

$54K/yr - $70K/yr

New Grad, Entry Level

Aramark is a global leader in food and facilities services, committed to serving millions of guests daily. They are seeking a Platform Innovation Engineer to build and experiment with AI-enabled capabilities, contributing to platform innovation while ensuring data integrity and security.

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Responsibilities

Build and test prototypes that explore how AI and automation can enhance data access, analysis, and platform workflows
Experiment with AI-assisted analytics, intelligent automation, or agent-style solutions under the guidance of the AI Architect
Validate ideas through hands-on implementation in development and QA environments
Help transform promising experiments into stable, reusable platform components that can be safely adopted by others
Assist in building tools, utilities, or services that improve how the platform is used, extended, and understood
Support the integration of AI capabilities into existing data and reporting workflows
Work across multiple technologies and layers rather than within a single tool or silo
Document what you build so solutions are transparent, repeatable, and supportable
Design and build solutions with awareness of data sensitivity, access controls, and platform boundaries
Work within role-based access models, environments (development, QA, production), and approval flows that protect data and platform integrity
Follow established development, testing, and deployment practices to ensure changes are traceable and auditable
Recognize when data handling or access considerations may apply and escalate questions early
Apply platform guardrails as a way to accelerate innovation by using clear, trusted paths to build and deploy
Communicate technical ideas, experimentation outcomes, and trade-offs clearly to senior engineers, leadership, and business stakeholders
Translate complex technical concepts into practical implications for non-technical audiences
Participate in conversations where priorities, risks, and feasibility are discussed with stakeholders outside engineering
Explain not just what was built, but why it matters, how it works at a high level, and what guardrails were considered

Qualification

Required

Bachelor?s degree in Computer Science, Engineering, Data, Information Systems, or a related field
Exposure to SQL, Python, or cloud, data, or automation tools
Demonstrated curiosity and interest in AI-enabled systems or modern platforms
Willingness to experiment, learn quickly, and iterate within defined boundaries
Strong communication skills and comfort engaging with technical peers, leadership, and business stakeholders

Preferred

Master?s degree in Computer Science, Data Science, Engineering, Information Systems, or a related discipline
Side projects, hackathons, or self-directed technical exploration
Exposure to cloud platforms (Azure preferred)
Interest in how access controls, data stewardship, and platform trust are designed into systems
Curiosity about how AI can improve productivity without compromising data integrity