Senior AI Engineer

Job Title: Senior AI Engineer
Location: Houston, TX (Onsite Role)
Duration: Full-Time (FTE, Direct Hire)

Job Description:

Required:

• Bachelor s degree in Computer Science, Data Science, Engineering, or a related field; equivalent combinations of education and experience will be considered.
• 4-7 years of experience in AI/ML, data science, or advanced analytics, with a proven track record of delivering production-grade AI and data solutions in enterprise environments.
• 4-7 years of hands-on programming experience with Python and SQL, including building, testing, and deploying data-driven applications and models.
• 4-7 years of experience with machine learning frameworks and model lifecycle management, including training, validation, deployment, and monitoring.
• Demonstrated experience integrating AI/ML solutions into enterprise applications and reporting platforms, including BI tools such as Power BI or similar visualization technologies.
• 4-7 years of experience working with cloud data and AI platforms (Azure, AWS, or similar), including services such as Azure AI, Azure ML, OpenAI, Synapse, or Fabric.
• Strong understanding of data modeling (including dimensional modeling), semantic layers, and enterprise reporting structures.
• Experience designing and supporting ETL/ELT pipelines and collaborating with data engineering teams to enable scalable AI and analytics solutions.
• Strong analytical, organizational, and problem-solving skills, with high attention to detail and the ability to manage multiple priorities in a fast-paced, evolving environment.
• Ability to translate complex business requirements into scalable, high-impact technical solutions and align AI initiatives to business outcomes across functions such as Finance, Sales, and Operations.
• Effective communication and collaboration skills, including the ability to clearly convey technical concepts across multiple channels (e.g., email, chat, presentations) and work independently or as part of cross-functional teams.
• Experience with enterprise systems (e.g., ERP platforms such as D365 or JD Edwards) and industry domains such as retail, manufacturing, or supply chain analytics is nice to have not required.
• Experience developing AI copilots, chatbots, or enterprise AI agents is preferred.
• Microsoft certifications in Azure AI, Data, or Power BI are a plus.
• Ability to work a flexible schedule to support business needs, including occasional early mornings, evenings, or weekends as required.