Job description

Technical Responsibilities • Own the end-to-end design and rollout of AI solutions that accelerate sales forecasting, quote generation, and marketing content creation. • Map current processes in Microsoft Dynamics 365 Business Central (BC); identify data sources, gaps, and integration points for AI. • Architect and implement Azure-based services (Azure OpenAI Service, Cognitive Services, Azure Machine Learning, Data Factory, Synapse, Functions, Logic Apps) to ingest data, train models, and deploy scalable, secure APIs. • Build and maintain reusable forecasting and CPQ models, prompt libraries, and generative-content templates; establish CI/CD and MLOps pipelines. • Define and enforce AI governance: data quality standards, versioning, telemetry, bias mitigation, security, and Responsible AI compliance. • Lead backlog grooming, sprint planning, and cross-functional collaboration with product, marketing, and IT; serve as the technical lead for adoption of AI across the organization • Track and report performance metrics (latency, accuracy, ROI) and continuously optimize models and workflows. Required Skills & Experience • Successful track record of delivering data analytics / software solutions, with recent lead role(s) in production AI/ML and/or generative-AI deployments. • Deep expertise in Azure AI stack (Azure OpenAI, Cognitive Services, Azure Machine Learning, Data Lake, Synapse, Data Factory) and in designing secure, high-availability cloud architectures. • Hands-on knowledge of Microsoft Dynamics 365 Business Central APIs, AL extensions, and Power Platform (Power Automate, Power Apps, Copilot Studio, Dataverse). • Strong programming background (Python, SQL) and proficiency with Git-based CI/CD, RESTful API design, and serverless/event-driven patterns. • Proven delivery of forecasting, CPQ, or marketing-content AI solutions at enterprise scale; fluency in prompt engineering, retrieval-augmented generation, and vector databases (e.g., Azure Cosmos DB, Elastic). • Experience standing up MLOps frameworks (MLflow, Azure ML pipelines) and monitoring for model drift, data shifts, and cost efficiency. • Solid grasp of data governance, privacy (GDPR/CCPA), security best practices, and Responsible AI principles. • Exceptional stakeholder-management and leadership skills; adept at evangelizing new technology and mentoring engineers in an agile environment. This position is on-site in Dallas, specifically in the vicinity of Grapevine so candidates must be local, and willing to work onsite 5 days per week.

Requirements