AI Data Engineer

Responsibilities

Kforce has a client that is seeking an AI Data Engineer in Frisco, TX. Responsibilities:
• AI Data Engineer will design, develop, and maintain scalable data pipelines and architectures for AI and machine learning projects, with a focus on Salesforce Data Cloud and Agentforce
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions using Salesforce Data Cloud
• Implement data collection, cleansing, and preprocessing techniques to ensure data quality and integrity within the Salesforce ecosystem
• Develop and optimize ETL (Extract, Transform, Load) processes to support data integration from various sources into Salesforce Data Cloud
• Build and maintain databases, data warehouses, and data lakes to store and manage large volumes of structured and unstructured data within Salesforce
• Ensure data security and compliance with relevant regulations and best practices, leveraging Salesforce's security features
• As an AI Data Engineer, you will monitor and troubleshoot data pipeline performance and reliability within Salesforce Data Cloud
• Utilize Agentforce to create and deploy AI agents that automate tasks and interact with customers across the business
• Stay updated with the latest trends and advancements in AI, machine learning, and data engineering, particularly within the Salesforce ecosystem.

Requirements
• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field
• Proven experience as a Data Engineer, AI Engineer, or similar role, with a focus on Salesforce Data Cloud and Agentforce
• Strong programming skills in languages such as Python, Java, or Scala
• Experience with big data technologies like Hadoop, Spark, and Kafka
• Proficiency in SQL and NoSQL databases
• Familiarity with Salesforce Data Cloud and Agentforce, including their integration and customization
• Knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch)
• Excellent problem-solving skills and attention to detail
• Strong communication and collaboration abilities

Preferred Qualifications
• Certifications in relevant technologies or platforms, especially Salesforce
• Experience with data visualization tools (e.g., Tableau, Power BI)
• Understanding of data governance and data privacy principles

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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