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As an AI Data Engineer, you will be responsible for designing, building, and deploying solutions that leverage large language models (LLMs), Generative AI, and natural language processing (NLP) to enhance customer and agent experiences. This includes developing intelligent automation, AI-powered services, and supporting teams in the responsible and effective use of AI technologies. Success in this role requires creativity, a passion for learning, and the ability to clearly explain complex ideas. Youll join a team that values curiosity, open communication, and a strong commitment to responsible AIworking together to create smart, impactful tools that make a real difference. Accountabilities : Build and deploy LLMs and Generative AI models for tasks like document summarization, content generation, and answering questions. Create and improve NLP pipelines using tools like Hugging Face Transformers, spaCy, LangChain, or similar. Work with teams to find the right AI use cases and build quick prototypes that can scale. Develop smart automation tools to improve processes in areas like underwriting, claims, and customer support. Create APIs and services that connect AI models to real applications. Use tools like SageMaker, MLflow, or Vertex AI to automate model training, testing, and monitoring. Ensure AI solutions are secure, reliable, and easy to explain, and follow ethical and legal guidelines. Help organize and prepare data for AI using Spark, Airflow, and other pipeline tools. Build and maintain data pipelines that move and transform data between systems, data warehouses, and AI platforms. Support data lake and data warehouse development efforts to ensure AI models have access to clean, well-structured data. Support basic DevOps worksuch as containerizing models with Docker, using Kubernetes, and integrating into CI / CD pipelines. Stay up to date with AI trends, test new tools, and bring new ideas to the team. Qualifications : Bachelors degree in Computer Science, Data Engineering, Information Technology, or a related field, or equivalent work experience. 8+ years in software, data, or AI engineering, with 3+ years working directly with AI / ML models. Experience building and deploying LLMs, transformers, or GenAI tools. Hands-on knowledge of Python and tools like TensorFlow, PyTorch, or scikit-learn. Worked with Hugging Face, OpenAI APIs, AWS Bedrock, LangChain, or other GenAI platforms. Built AI solutions in AWS, Azure, or GCP using SageMaker, Azure ML, or Vertex AI. Familiar with data engineering tools like Apache Spark, Kafka, and Airflow. Experience working with modern data stack technologies such as Snowflake, Redshift, Delta Lake, S3, Azure Data Lake, and BigQuery. Some experience with DevOps practices, like using CI / CD pipelines, Docker, and Kubernetes. Comfortable working with teams to understand business needs and explain how AI can help. Prior experience in insurance or regulated industries is a plus. Benefits : We are proud to offer a robust benefits suite that includes : Competitive base salary plus incentive plans for eligible team members 401(K) retirement plan that includes a company match of up to 6% of your eligible salary Free basic life and AD&D, long-term disability and short-term disability insurance Medical, dental and vision plans to meet your unique healthcare needs Wellness incentives Generous time off program that includes personal, holiday and volunteer paid time off Flexible work schedules and hybrid / remote options for eligible positions Educational assistance Create a job alert for this search

Data Engineer Hybrid West Des Moines, IA, US #J-18808-Ljbffr