Artificial Intelligence Engineer
About The Position
Accel Entertainment, Inc. (NYSE: ACEL) is a growing provider of locals-focused gaming and one of the largest terminal operators in the United States, supporting more than 29,000 electronic gaming terminals in nearly 4,700 third-party local and regional establishments and 20 self-operated gaming locations across ten states. Through exclusive long-term contracts, Accel serves licensed non-casino locations including bars, restaurants, convenience stores, truck stops, gaming cafes, and fraternal and veteran establishments. Accel provides its local partners with a turnkey, full-service, capital-efficient gaming solution that encompasses manufacturing, content, payments, loyalty, 24/7 customer service, data analysis and reporting, and cash logistics. The Company’s racino, Fairmount Park - Casino & Racing, features live racing, electronic gaming machines, live table games, food and beverage amenities, and pari-mutuel betting.
Requirements
- Bachelor’s degree in Computer Science, Data Science, AI/ML, or related field
- 5+ years of experience in AI engineering, machine learning, or software development with deployed AI solutions
- Strong Python skills for AI/ML, including APIs, testing, and CI/CD pipelines
- Experience 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 standards
- Experience integrating enterprise systems with AI platforms (Salesforce, NetSuite, REST/GraphQL APIs)
- Strong communication and problem-solving skills, able to explain AI to varied audiences
Nice To Haves
- Experience with agent frameworks and vector databases
- Familiarity with evaluation and observability tools
Responsibilities
- Collaborate with business and technical teams to define and deliver AI-driven solutions
- Translate business needs into actionable AI strategies and technical approaches
- Support leadership by providing guidance that helps engineering teams scale effectively
- Act as a subject matter expert, contributing to AI training, playbooks, and knowledge-sharing initiatives
- Ensure AI systems follow governance, compliance, and auditability standards
- Lead technical design of AI agents and support development of RAG pipelines across data platforms such as Databricks, Azure SQL, and Salesforce
- Provide technical direction for deploying AI applications in Azure to ensure efficiency and scalability
- Support integration of AI agents into enterprise systems and APIs to enable automation
- Ensure deployment and reliability of AI solutions through standardized workflows and CI/CD practices
- Provide technical mentorship and day-to-day guidance to junior AI engineers, including code reviews, design feedback, and best practices.
- Develop and deliver AI training materials and best practices, and enable “train-the-trainer” models to scale AI knowledge across technical and business teams.
Benefits
- medical
- dental
- vision
- life, AD&D, critical illness, and hospital insurance
- short and long-term disability
- identity/legal protection
- access to FSA and HSA accounts
- traditional and/or Roth 401(k) plans
- Employee Assistance Program (EAP)
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What This Job Offers
Job Type
Full-time
Career Level
Senior
