IT consulting and staffing firm delivering agentic AI and cloud data engineering
York Solutions is a Westchester, IL technology consultancy combining project delivery with IT staff augmentation and an emerging-talent pipeline. Its job posts center on production agentic AI (LangGraph, AWS Bedrock, Azure AI Agent Service, with Ragas and DeepEval for evaluation) alongside a Teradata-to-Redshift migration and Databricks medallion builds, showing a shift from classic staffing toward AI and data-platform engagements. Hiring is accelerating and engineering-led across the US and India.
York Solutions, LLC is a privately held technology consulting firm founded in 1989 and headquartered in Westchester, Illinois, with 201–500 employees. It offers technology solutions, IT staff augmentation and contract staffing, interim CIO services, and an emerging talent program that trains and places entry-level technologists with client companies. It also runs Think IT, a professional association for technology practitioners. Client work spans enterprise platforms such as SAP, Salesforce, MuleSoft, Snowflake, Databricks, AWS, and Azure. The firm hires in the United States and India.
York Solutions works with SAP, Salesforce, Snowflake, Databricks, Redshift, dbt, Airflow, Kafka, Python, and AI agent tooling like LangGraph, AWS Bedrock, and Azure AI Agent Service, plus Ragas and DeepEval for evaluation.
Current work includes production-grade agentic AI for enterprise systems, evaluation and observability at scale, governance controls for agents, a Teradata-to-Redshift migration, and a Databricks medallion architecture.
York Solutions, headquartered in Westchester, IL, hires in the United States and India, with recent openings weighted toward engineering alongside support, data, HR, and operations roles.
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York Solutions, LLC's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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