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Added 3 mins ago
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Added 1 hour ago
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Aramark

Sr. Software Engineer - Data AI Platforms

Philadelphia, PA, United States

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Job details

Posting language: English

Original job description

Job Description

Our vision is to enable profitable growth to Aramark's Accounts by providing them with analytical assets that meet their needs as effectively and then efficiently as possible. To achieve this vision, Aramark will deliver strategic data assets that enable our operators to maximize the hospitality experience for our consumers and clients.

We are seeking a Senior Software Engineer to join our team as a key technical contributor on the Document Intelligence Worker platform - a cloud-native, event-driven system that ingests, classifies, and processes documents at scale using AI agentic workflows. You will design and operate the pipelines and services that power automated document understanding and downstream analytics and AI-driven capabilities across Aramark, processing 1000+ documents per month for 12+ Lines of Business. You will work across Azure Blob Storage, Event Grid, Service Bus, Container Apps Jobs, AI Search, Cosmos DB, and Azure AI Foundry.

This is a hybrid role based at our Philadelphia headquarters. Candidates must be local to the area or willing to relocate, and able to work onsite in a hybrid capacity.

Job Responsibilities

Design, build, and own components of the Document Intelligence Worker pipeline, including ingestion, classification, extraction, and downstream delivery to consumer applications, making design decisions that account for scalability, cost, and reliability.
Architect and implement event-driven processing using Azure Blob Storage, Event Grid, and Service Bus, with Container Apps Jobs scaled via KEDA.
Build and productionize AI agentic workflows using Azure AI Foundry - including orchestration, tool use, and multi-step reasoning over unstructured documents.
Implement and maintain retrieval and indexing layers using Azure AI Search and Cosmos DB to support downstream search, analytics, and agentic retrieval.
Design and build the application layer for agentic AI solutions - backend services and APIs (including authentication and orchestration between the UI and platform services) and React-based user interfaces such as chat, document review/approval tools, and agent monitoring dashboards.
Own monitoring, observability, testing, and recovery mechanisms for production pipelines, including on-call support for critical incidents.
Drive integration and synchronization work between source systems (on-premises and SaaS) and cloud-native platforms, working through dependencies across teams.
Contribute to data engineering best practices - CI/CD for data and services, testing standards, and code and design review norms - and mentor junior and mid-level engineers and interns.
Partner with product, engineering, and business stakeholders on technical trade-offs, feasibility, and cost, translating requirements into reliable, scalable data and AI services and explaining complex AI and data concepts to non-technical audiences.
Evaluate and prototype emerging document intelligence and agentic AI techniques, and recommend their adoption where they add measurable value, weighing cost and risk.

Qualifications

BS or MS in Computer Science, Data Engineering, Data Science, or a related field, with 8+ years (or 6+ with an MS) of professional experience across data engineering and software development (including full-stack development with backend services), including 3+ years of hands-on experience building applied AI, machine learning, or data science solutions, with production experience building LLM-powered and AI agentic applications, plus experience in document intelligence (OCR, IDP, document classification/extraction). This includes:

Full-stack development experience, including backend services and API design (e.g., REST, authentication/authorization, service-to-service integration) and React frontend development, sufficient to build UIs for agentic AI applications (e.g., chat interfaces, document review/approval tools, agent monitoring dashboards).
Strong proficiency in Python and SQL, with production experience building and operating data or AI services.
Hands-on experience with a major cloud platform (Azure, AWS, or GCP), including object storage, event-driven messaging, and container orchestration with autoscaling. Experience with Azure services (Blob Storage, Event Grid, Service Bus, Container Apps, KEDA) is preferred.
Experience building or integrating AI agentic workflows and LLM-enabled applications - e.g., via Azure AI Foundry, AWS Bedrock, Vertex AI, LangChain, Semantic Kernel, AutoGen, or comparable frameworks.
Experience with document intelligence / intelligent document processing tooling (e.g., Azure Document Intelligence, AWS Textract, Google Document AI, OCR pipelines, layout- or vision-based extraction models).
Experience with vector search and retrieval-augmented generation, including Azure AI Search or equivalent (e.g., Elasticsearch, Pinecone, Weaviate).
Experience with NoSQL/document databases such as Cosmos DB, DynamoDB, or Firestore, and designing data models for high-throughput, low-latency workloads.
Solid grounding in CI/CD practices, version control (Git), automated testing, and production monitoring/observability.
Comfortable working across distributed teams, with a track record of working with both engineers and non-technical business stakeholders and adapting communication to the audience.

Preferred Qualifications

Experience with dbt, Snowflake, or Databricks for downstream data transformation and analytics.
Experience with Apache Spark, real-time streaming, or large-scale distributed data processing.
Experience designing multi-agent orchestration systems, including tool-calling, memory, and agent-to-agent communication patterns.
Prior experience in food service, hospitality, retail, or other consumer-facing industries.

Benefits

BENEFITS: Aramark offers comprehensive benefit programs and services for eligible employees including medical, dental, vision, and work/life resources. Additional benefits may include retirement savings plans like 401(k) and paid days off such as parental leave and disability coverage. Benefits vary by location and are subject to any legal requirements or limitations, employee eligibility status, and where the employee lives and/or works. For more information about Aramark benefits, click here Aramark Careers - Benefits & Compensation.

There is no predetermined application window for this position, the position will close once a qualified candidate is selected. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including, but not limited to, the Los Angeles County Fair Chance Ordinance for Employers, the California Fair Chance Act, and the San Francisco Fair Chance Ordinance to the extent that those laws apply to the opportunity.

About Aramark

Our Mission

Rooted in service and united by our purpose, we strive to do great things for each other, our partners, our communities, and our planet.

At Aramark, we believe that every employee should enjoy equal employment opportunity and be free to participate in all aspects of the company. We do not discriminate on the basis of race, color, religion, national origin, age, sex, gender, pregnancy, disability, sexual orientation, gender identity, genetic information, military status, protected veteran status or other characteristics protected by applicable law.

About Aramark

The people of Aramark proudly serve millions of guests every day through food and facilities in 15 countries around the world. Rooted in service and united by our purpose, we strive to do great things for each other, our partners, our communities, and our planet. We believe a career should develop your talents, fuel your passions, and empower your professional growth. So, no matter what you're pursuing - a new challenge, a sense of belonging, or just a great place to work - our focus is helping you reach your full potential. Learn more about working here at http://www.aramarkcareers.com or connect with us on Facebook, Instagram and Twitter.

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More about this job

Skills

Microsoft Azure
Data engineering
CI/CD
Python
SQL
AWS
Google Cloud
OCR
Elasticsearch
NoSQL
Amazon DynamoDB
Data models
Git
Test automation
Communication skills
dbt
Snowflake
Databricks
Apache Spark
Process data
Food service operations

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