Staff AI/ML Solution Engineer
28 days ago
Dallas
What You Need To Know Open the door to a groundbreaking tech career with an industry leader. Southern Glazer’s Wine & Spirits is North America’s preeminent wine and spirits distributor, as well as a family-owned, privately held company with a 50+ year legacy of success. To create a new era in alcohol beverage sales and service, we’re heavily invested in the most transformative new technologies – and the most brilliant tech professionals. Southern Glazer’s was named by Newsweek as a Most Loved Workplace and is included on the Forbes lists for Largest Private Companies and Best Employers for Diversity. As a full-time employee, you can choose from a full menu of our Top Shelf Benefits, including comprehensive medical and prescription drug coverage, dental and vision plans, tax-saving Flexible Spending Accounts, disability coverage, life insurance plans, and a 401(k) plan. We also offer tuition reimbursement, a wellness program, parental leave, vacation accrual, paid sick leave, and more. We offer continuous learning and career growth in a fast-paced environment where you are respected, your voice is heard, and technology is part of our strategy for success. If you’re looking to fill your glass with opportunity, come join our FAMILY. Overview The Principal Solution Engineer is responsible for Model Development: Building, training, and tuning machine learning models using ML frameworks like TensorFlow, PyTorch, or Spark MLlib integrated within Databricks. This role involves evaluating forecasting models using LGBM and other ML algorithms and for fit and performance, making IT management recommendations, and providing Tier Two technical support. Additionally, the engineer monitors system capacity, ensures optimal performance, and leads large-scale application development projects. Primary Responsibilities • Design and develop LLM-powered chatbots and agents that integrate with business systems and workflows., • Fine-tune or prompt-engineer foundation models (e.g., OpenAI, Anthropic, Databricks MosaicML) for enterprise use cases., • Build retrieval-augmented generation (RAG) pipelines and vector databases for domain-specific knowledge integration., • Develop data ingestion and orchestration pipelines using Databricks, Python, or Spark for model input/output., • Implement evaluation frameworks for chatbot quality, hallucination detection, and model performance tracking., • Collaborate with backend and data engineering teams to deploy AI models as APIs or microservices in production., • Ensure security, compliance, and ethical AI standards across all deployments., • Experiment with multi-agent workflows and contextual memory for autonomous task execution., • Contribute to the organization’s AI engineering playbook, ensuring scalable and reusable design patterns.Minimum Qualifications, • Bachelor’s or Master’s in Computer Science, Data Science, Engineering, or related field., • 3+ years of experience in AI/ML engineering, with proven experience in LLM or chatbot development., • Strong proficiency in Python (LangChain, or similar frameworks)., • Experience with Databricks, Azure ML, AWS SageMaker, or equivalent platforms., • Hands-on experience with OpenAI API, Anthropic Claude, Hugging Face Transformers, or MosaicML., • Familiarity with vector databases., • Solid understanding of prompt engineering, RAG, model fine-tuning, and evaluation metrics., • Proficiency in SQL and data pipeline development., • Strong understanding of MLOps, CI/CD pipelines, and API deployment practices., • Excellent communication and collaboration skills with cross-functional teams., • Experience building enterprise-grade AI assistants or autonomous agent frameworks., • Familiarity with multi-agent orchestration and tools integration (e.g., MCP, LangGraph, CrewAI)., • Exposure to supply chain, planning, or analytics use cases.Physical Demands, • Physical demands include a considerable amount of time sitting and typing/keyboarding, using a computer (e.g., keyboard, mouse, and monitor), or adding machine, • Physical demands with activity or condition may occasionally include walking, bending, reaching, standing, squatting, and stooping