Artificial Intelligence Engineer

Overview In this role you will translate business needs into scalable, AI-driven solutions and guide engineering teams to operationalize them. You will act as a subject matter expert, shaping AI training, playbooks, and enterprise integration while ensuring governance and compliance. You’ll design AI agents and RAG pipelines across Databricks, Azure SQL, and Salesforce, and drive deployment efficiency via CI/CD. You’ll mentor junior engineers and create training materials to scale AI know-how across teams. This position sits at the intersection of technology, governance, and business impact within a growth-focused gaming company. Compensation / Benefitsmedical, dental, and visionlife, AD&D, and critical illness insuranceshort and long-term disabilityFSA and HSA accountstraditional and/or Roth 401(k) plansEmployee Assistance Program (EAP) ResponsibilitiesCollaborate with business and technical teams to define and deliver AI-driven solutionsTranslate business needs into actionable AI strategies and technical approachesSupport leadership by providing guidance that helps engineering teams scale effectivelyAct as a subject matter expert, contributing to AI training, playbooks, and knowledge-sharing initiativesEnsure AI systems follow governance, compliance, and auditability standardsLead technical design of AI agents and support development of RAG pipelines across data platforms (Databricks, Azure SQL, Salesforce)Provide technical direction for deploying AI applications in Azure to ensure efficiency and scalabilitySupport integration of AI agents into enterprise systems and APIs to enable automationEnsure deployment and reliability of AI solutions through standardized workflows and CI/CD practicesProvide technical mentorship and day-to-day guidance to junior AI engineers, including code reviews and design feedbackDevelop and deliver AI training materials and best practices, enabling train-the-trainer models Key requirementsBachelor’s degree in Computer Science, Data Science, AI/ML, or related field5+ years of experience in AI engineering, machine learning, or software development with deployed AI solutionsStrong Python skills for AI/ML, including APIs, testing, and CI/CD pipelinesExperience with ML frameworks (scikit-learn, TensorFlow, PyTorch, Hugging Face)Hands-on with Azure services (Functions, Container Apps, SQL, Blob)Hands-on with Data Engineering services (Databricks, data lakes/warehouses)Knowledge of AI governance, responsible AI practices, and compliance standardsExperience integrating enterprise systems with AI platforms (Salesforce, NetSuite, REST/GraphQL APIs)Strong communication and problem-solving skills, able to explain AI to varied audiencesPreferred: Experience with agent frameworks and vector databasesPreferred: Familiarity with evaluation and observability toolsclear communicationproblem-solvingcollaborationPython for AI/MLML frameworks (scikit-learn, TensorFlow, PyTorch, Hugging Face)Azure services (Functions, Container Apps, SQL, Blob)