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DATA - Azure AI Data Foundry RAG

Addison Group
locationBolingbrook, IL, USA
PublishedPublished: 6/14/2022
Full Time

Job Description

Job Description

Title: DATA - Azure AI Data Foundry RAG

Location: Chicagoland / Milwaukee Area / St. Louis - One day onsite monthly

Experience 2-5 years

Degree: YES - Required

Salary: $100-115K

No sponsorship


The DATA - Azure AI Data Foundry RAG Engineer functions as a strategic partner to Operations and the IT Automation Team, tasked with establishing and governing Azure AI Foundry environments, building chatbots, and implementing Retrieval-Augmented Generation (RAG) pipelines that democratize data-driven decision-making across the organizations network. This is individual will be the technical backbone of our emerging AI practice—designing, deploying, and maintaining scalable AI solutions that align with organizational priorities. As a core member of the team, the Azure AI Engineer will champion AI best practices, ensure robust governance, and be a key contributor to the company’s mission of scalable excellence in warehouse execution.

Essential Duties and Responsibilities

· Stand-up and govern Azure AI Foundry environments, configuring security, compliance, and cost-control policies.

· Design, develop, and deploy internal chatbots for Microsoft Teams and web that streamline employee and customer interactions.

· Implement Retrieval-Augmented Generation (RAG) pipelines by integrating Azure Cognitive Search with large language models to deliver context-aware responses from internal data sources.

· Build and maintain serverless workflows and REST APIs using Azure Functions (primarily Python) to orchestrate data ingestion and AI inference.

· Document architectures, create technical runbooks, and evangelize AI best practices across cross-functional teams.

· Partner with Operations, IT, and Continuous Improvement teams to gather requirements and translate business problems into technical designs.

· Monitor model performance, perform root-cause analysis on anomalies, and iterate on deployments for reliability and scalability.

· Identify opportunities to integrate AI and machine learning into warehouse and transportation workflows to improve forecasting, automation, and decision-making.

· Provide ad-hoc analysis and proofs-of-concept to evaluate new Azure AI capabilities and recommend adoption roadmaps.

Knowledge, Skills, and Abilities

· Exceptional attention to detail and commitment to quality engineering practices.

· Proficiency in Python and familiarity with modern development practices (Git, CI/CD, containerization).

· Working knowledge of Azure Cognitive Search, vector databases, and RAG design patterns.

· Ability to communicate complex AI concepts to technical and non-technical stakeholders alike.

· Self-starter comfortable operating in a green-field environment and driving continuous learning/improvement initiatives.

· Ability to leverage cross-functional teams to achieve project and organizational goals.

· Demonstrated problem-solving skills and aptitude for root-cause analysis.

· Comfortable exploring emerging technologies and translating complex models into actionable insights for business users.

Education and Experience

· Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field required.

· 2–5 years of professional experience in software, ML, or data engineering, with at least 1 year hands-on in Azure AI services.

· Experience with Azure Functions and Azure Cognitive Search preferred


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