AI/Machine Learning Data Engineer

Position Overview Acosta Group is seeking an AI/ML Data Engineer to design, develop, deploy, and support AI-powered solutions that enhance internal operations and decision‑making. The role focuses on scalability, reliability, and integration across enterprise platforms such as Azure AI, Power Platform, and Copilot Studio. The ideal candidate has hands‑on experience with cloud platforms—preferably Azure—agentic frameworks (e.g., LangChain), large language models (LLMs), and generative AI techniques including fine‑tuning and Retrieval‑Augmented Generation (RAG). Proficiency in Python and SQL is essential, along with strong knowledge of vector databases, semantic search, and dimensional data modeling. Experience with Databricks, serverless deployments, containerization (Docker/Kubernetes), and CI/CD pipelines using Azure DevOps is highly valued. Beyond technical implementation, the engineer will provide second‑ and third‑level support, mentor business users and citizen developers, and collaborate with cross‑functional teams to embed AI into business‑critical workflows. The role also supports Acosta’s broader AI initiatives by enabling infrastructure readiness, contributing to the AI Center of Excellence, and integrating intelligent automation tools across the enterprise. hybrid role based in Jacksonville, FL; Lewisville, TX; or Mississauga/Toronto, ON. Candidates will be expected to work as much as 3 days per week onsite. Responsibilities Design, develop, and deploy AI/ML models and intelligent automation solutions that support internal business operations and strategic initiatives. Build and integrate REST/GraphQL APIs to serve AI/ML models. Work with vector databases and semantic search for efficient data retrieval. Collaborate with cross‑functional teams to identify, scope, and implement AI use cases using Azure AI, Power Platform AI Builder, and Copilot Studio. Integrate AI capabilities into enterprise applications and workflows, including Power Apps, Power Automate, and Microsoft 365. Monitor and maintain AI solutions in production, ensuring performance, reliability, and responsible AI practices. Provide second‑ and third‑level support for AI‑related incidents, enhancements, and deployments. Partner with infrastructure and security teams to ensure readiness and compliance for AI workloads. Develop reusable AI components, templates, and frameworks to accelerate adoption. Mentor and support business users and citizen developers in building and scaling AI‑powered solutions. Participate in the evaluation of new AI tools, platforms, and methodologies to support innovation and continuous improvement. Document solution architectures, workflows, and best practices to support knowledge sharing and operational continuity. Support the AI Center of Excellence by contributing to governance, enablement, and enterprise‑wide AI strategy. Maintain and enforce change control processes. Assist in developing and maintaining operational standards and best practices. Leverage AI and automation tools for proactive monitoring, anomaly detection, and incident response. Collaborate with AI Solutions Engineers and the AI Center of Excellence to support infrastructure for AI workloads and pilot initiatives. Ensure infrastructure readiness for hybrid cloud and AI platforms (e.g., Azure ML, VMware Private AI, NVIDIA AI Enterprise). Perform other duties as required and/or assigned. Qualifications Legally authorized to work in the United States and/or Canada without the current or future need for employer‑sponsored work authorization. Bachelor’s Degree in Technology or equivalent work experience (high school diploma/ GED is required). Two (2) or more years of professional experience in Machine Learning, Data Science, or Software Engineering. Microsoft Exam AI‑102 (preferred). Programming: Proficiency in Python (must) and SQL for data manipulation, querying, and automation. Strong understanding of data warehouse concepts, including dimensional modeling. Knowledge of AI agent frameworks and orchestration (e.g., LangChain). Deep understanding of LLMs, fine‑tuning, and RAG pipelines. Familiarity with MLOps practices and tools for model lifecycle management and monitoring. Knowledge of responsible AI principles, including fairness, transparency, and data privacy. Strong analytical and problem‑solving skills with flexibility in a fast‑evolving technology landscape. Excellent communication skills (written and oral) combined with strong interpersonal skills. Location Hybrid role based in Jacksonville, FL; Lewisville, TX; or Mississauga/Toronto, ON. Onsite work: up to 3 days per week. Compensation $85,800.00 – $110,000.00 About Acosta Group Acosta Group is a collective of the most trusted retail, marketing, and foodservice agencies—Acosta, ActionLink, CORE Foodservice, CROSSMARK, Mosaic, Premium Retail Services, and Product Connections. Together, we connect consumers with the brands they love through omnichannel selling, merchandising, brand advocacy, and integrated marketing. We recognize our associates are the foundation of our success. That’s why we prioritize growth, development, and well‑being to help you reach your full potential. With programs designed to support a fulfilling work‑life balance, we offer opportunities that fit your lifestyle and ambitions—whether you’re looking for part‑time flexibility or full‑time career advancement. EEO Statement Acosta Group is an equal opportunity employer and will ensure that applicants with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed, please contact AskHR@acosta.com. The Acosta Group utilizes E‑Verify for validating the ability to work in the United States for all job candidates. For more information on E‑Verify and your rights as a job applicant, please use the link provided to access information on our use of E‑Verify and your right to work (employer resources). By applying, you agree to our Privacy Policy and Terms and Conditions of Use. #J-18808-Ljbffr