Principal Data & AI Platform Engineer

Our client, a leading organization in the technology and data analytics sector, is seeking a Application Programmer III to join their team. As a Application Programmer III, you will be part of the Data Engineering and AI Support team supporting innovative data-driven solutions. The ideal candidate will have strong technical expertise, excellent collaboration skills, and a proactive mindset, which will align successfully in the organization.

Application Programmer III

Charlotte, NC

Not disclosed

• Lead the engineering design and implementation of enterprise-scale data, analytics, and AI platforms, including reusable technology enablers that improve development efficiency and enable advanced, AI-driven customer insights.
• Design and deliver end-to-end solutions—from architecture through implementation and production support—supporting analytics, machine learning pipelines, and agentic workflows based on initiative scale and complexity.
• Apply deep expertise in big data and real‑time processing technologies, including Hadoop, Spark, Kafka, Spark Streaming, and No
  
  SQL data stores such as Redis, to support analytics, AI inference, and event‑driven decisioning.
• Engineer data pipelines and feature stores that reliably power machine learning models, real‑time scoring, and autonomous agent execution across batch and streaming environments.
• Define and implement data and AI engineering best practices, ensuring solutions are scalable, resilient, secure, and performant across large and diverse data sets.

• Proven experience delivering complex, enterprise-scale data and analytics platforms, with demonstrated business impact.
• Strong hands‑on expertise with distributed data processing and streaming architectures (Hadoop, Spark, Kafka, Spark Streaming).
• Experience supporting machine learning and AI workloads, such as feature engineering, model input pipelines, real‑time inference, or AI‑driven decision systems.
• Familiarity with agentic or autonomous processing patterns (e.g., event‑driven workflows, rules‑plus‑AI decisioning, or multi‑step orchestration) is highly desirable.
• Experience with No
  
  SQL and low‑latency data stores (e.g., Redis) supporting real‑time analytics, AI inference, and operational intelligence use cases.

• Opportunity to work on cutting‑edge AI and analytics platforms that impact business outcomes.
• Collaborate with diverse, talented teams across multiple locations.
• Engage in innovative projects that push the boundaries of data science and engineering.
• Grow your skills in modern data technologies and cloud platforms such as Azure, AWS, or GCP.
• Be part of a forward‑thinking organization committed to diversity and inclusion.

• Medical and Prescription Drug Plans
• Dental Plan
• Vision Plan
• 401(k), Plus Match
• Weekly Pay