Job Title

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 decisionmaking. The role focuses on scalability, reliability, and integration across enterprise platforms such as Azure AI, Power Platform, and Copilot Studio. The ideal candidate has handson experience with cloud platformspreferably Azureagentic frameworks (e.g., LangChain), large language models (LLMs), and generative AI techniques including finetuning and RetrievalAugmented 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 thirdlevel support, mentor business users and citizen developers, and collaborate with crossfunctional teams to embed AI into businesscritical workflows. The role also supports Acostas 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 crossfunctional 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 thirdlevel support for AIrelated 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 AIpowered 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 enterprisewide 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 employersponsored work authorization. Bachelors 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 AI102 (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, finetuning, 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 problemsolving skills with flexibility in a fastevolving 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 agenciesAcosta, 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. Thats why we prioritize growth, development, and wellbeing to help you reach your full potential. With programs designed to support a fulfilling worklife balance, we offer opportunities that fit your lifestyle and ambitionswhether youre looking for parttime flexibility or fulltime 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 [email protected]. The Acosta Group utilizes EVerify for validating the ability to work in the United States for all job candidates. For more information on EVerify and your rights as a job applicant, please use the link provided to access information on our use of EVerify and your right to work (employer resources). By applying, you agree to our Privacy Policy and Terms and Conditions of Use. #J-18808-Ljbffr