AI Data Engineer

job summary: Randstad Digital is seeking an experience AI Data Engineer for an exciting opportunity. The ideal candidate will have a strong background in data engineering, AI/ML development, and metadata management, with a passion for transforming unstructured data into valuable assets. This individual will play a key role in our data strategy, enabling advanced analytics and agentic capabilities across our client's organization.

location: Kansas City, Missouri job type: Contract salary: $65 - 74 per hour work hours: 8am to 5pm education: Bachelors

responsibilities: Key Responsibilities

Data Management & Governance

· Oversee metadata management and enrichment for key data repositories including SharePoint, Distributed File Systems (DFS), and Preservica.

· Design and lead execution of technical implementation strategy of data governance and compliance for archived project data/content.

· Administer data archiving and retention policies to ensure data integrity and compliance.

· Implement classification frameworks to support Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC).

Data Engineering & Integration

· Design, build, and maintain optimized data pipelines using SQL and Python.

· Integrate various engineering and project execution data sources (including Hexagon, Bentley, and Autodesk Construction Cloud), harmonizing and tagging metadata to create unified data products.

· Collaborate with domain teams to identify, extract, and organize data for analysis and product development.

· Utilize Optical Character Recognition (OCR) to extract structured data from unstructured sources at scale.

Agentic AI

· Build and maintain Retrieval-Augmented Generation (RAG) pipelines for content classification.

· Develop and own the technical experience of the archive and classification agents.

· Construct and evaluate Generative AI agents, ensuring output quality, safety, reliability, and grounded ness using established evaluation frameworks.

qualifications: Job Requirements:

· Bachelor Degree in Computer Science, Management Information Systems, Data Analytics, or related field and 8 years' experience

· Expert knowledge in programming languages and coding principles and procedures.

· Proficiency in Python, .NET/C#, or JavaScript.

· Extensive experience with API development and tools like Postman.

· Demonstrated experience in building and maintaining data pipelines with SQL and Python.

· Strong understanding of machine-readable metadata standards and taxonomies.

· Experience building, evaluating, and maintaining AI/ML models and agents.

· Experience developing embeddings or vector stores on unstructured content.

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.

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Key Responsibilities

Data Management & Governance

· Oversee metadata management and enrichment for key data repositories including SharePoint, Distributed File Systems (DFS), and Preservica.

· Design and lead execution of technical implementation strategy of data governance and compliance for archived project data/content.

· Administer data archiving and retention policies to ensure data integrity and compliance.

· Implement classification frameworks to support Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC).

Data Engineering & Integration

· Design, build, and maintain optimized data pipelines using SQL and Python.

· Integrate various engineering and project execution data sources (including Hexagon, Bentley, and Autodesk Construction Cloud), harmonizing and tagging metadata to create unified data products.

· Collaborate with domain teams to identify, extract, and organize data for analysis and product development.

· Utilize Optical Character Recognition (OCR) to extract structured data from unstructured sources at scale.

Agentic AI

· Build and maintain Retrieval-Augmented Generation (RAG) pipelines for content classification.

· Develop and own the technical experience of the archive and classification agents.

· Construct and evaluate Generative AI agents, ensuring output quality, safety, reliability, and grounded ness using established evaluation frameworks.

Job Requirements: · Bachelor Degree in Computer Science, Management Information Systems, Data Analytics, or related field and 8 years' experience · Expert knowledge in programming languages and coding principles and procedures. · Proficiency in Python, .NET/C#, or JavaScript. · Extensive experience with API development and tools like Postman. · Demonstrated experience in building and maintaining data pipelines with SQL and Python. · Strong understanding of machine-readable metadata standards and taxonomies. · Experience building, evaluating, and maintaining AI/ML models and agents. · Experience developing embeddings or vector stores on unstructured content.