Artificial Intelligence Engineer

Python AI Engineer Charlotte NC Contract 12+ Months Only W2 Job Description: ⦁ This position sits within the HRIT / Enterprise Functions Technology (EFT) Data Engineering organization and focuses on productionizing Data Science, Generative AI, and Predictive AI solutions. ⦁ The Data Science team develops models and use cases in Python. This role will be responsible for integrating those solutions into enterprise applications and deploying them into production environments using modern cloud and container platforms. ⦁ The ideal candidate brings a combination of Python development, AI engineering, data engineering, cloud engineering, and software deployment experience, with a strong understanding of how to operationalize AI use cases at scale. Required Experience: ⦁ 7 plus years of relevant experience in software engineering, data engineering, cloud engineering, or AI/ML engineering ⦁ Strong Python development experience ⦁ Experience deploying and operationalizing Data Science, Machine Learning, Generative AI, or Predictive AI solutions ⦁ Experience building enterprise applications and APIs ⦁ Experience working in cloud-based environments ⦁ Experience with containerized deployment platforms such as OpenShift or Kubernetes ⦁ Strong understanding of software engineering best practices, CI/CD, monitoring, and production support Core Technical Skills: ⦁ Programming and Application Development ⦁ Python ⦁ Git ⦁ FastAPI ⦁ REST APIs ⦁ JSON ⦁ Pydantic ⦁ C# / .NET application integration AI and Data Science Enablement: ⦁ Azure OpenAI ⦁ OpenAI APIs ⦁ LangChain / LangGraph or similar frameworks ⦁ Generative AI solutions ⦁ Predictive AI / Machine Learning solutions ⦁ Model deployment and operationalization ⦁ Embeddings ⦁ Vector Search ⦁ Retrieval-Augmented Generation (RAG) Data Engineering: ⦁ SQL ⦁ Oracle ⦁ ETL / ELT ⦁ Spark / PySpark ⦁ Data modeling ⦁ Data pipeline development Data Platforms: ⦁ Microsoft Fabric ⦁ OneLake ⦁ Data Warehouse concepts ⦁ Lakehouse concepts Pipeline Orchestration: ⦁ Azure Data Factory ⦁ Airflow or equivalent orchestration platform Cloud and Container Platforms: ⦁ Azure ⦁ Docker ⦁ OpenShift ⦁ CI/CD pipelines ⦁ Azure DevOps or GitHub Actions Monitoring and Operations: ⦁ Logging ⦁ Monitoring ⦁ Alerting ⦁ Application Insights ⦁ Production support and operational readiness Security and Governance: ⦁ Key Vault ⦁ OAuth ⦁ Secrets Management ⦁ PII and Data Governance Analytics and Reporting: ⦁ Power BI Delivery: ⦁ Agile delivery methodologies ⦁ Technical documentation ⦁ Runbooks ⦁ Operational support documentation Preferred Qualifications: ⦁ Experience supporting HR, HRIT, Workforce Analytics, or HR Data Science initiatives. ⦁ Experience integrating Python-based Data Science solutions into enterprise applications. ⦁ Experience supporting AI solutions in highly regulated environments. Nice to Have: ⦁ C# / .NET development ⦁ Flask ⦁ Django ⦁ React ⦁ Gradio ⦁ Databricks ⦁ Neo4j / Graph Databases ⦁ Semantic Kernel ⦁ MLflow ⦁ Kubernetes ⦁ Snowflake ⦁ Elasticsearch ⦁ Azure AI Search What the manager cares about most: ⦁ Experience deploying and operationalizing Generative AI and Predictive AI solutions. ⦁ Strong Python development background. ⦁ Ability to take Data Science code and move it into production environments. ⦁ Experience with OpenShift, containers, and cloud platforms. ⦁ Data engineering experience (SQL, ETL, Spark, Fabric) ⦁ Understanding of Data Science and AI best practices. Less important: ⦁ Prior HR experience ⦁ Deep HR domain knowledge. Top Skills: ⦁ A Senior Python Engineer, AI Engineer, AI Platform Engineer, or Data and AI Engineer who has experience turning Data Science and GenAI prototypes into scalable production solutions.