Role: AI Developer Engineer Location: Overland Park Kansas, and Frisco Texas Duration: Contract Job Summary – We are seeking an experienced AI Developer responsible for designing, developing, and deploying AI-driven systems. The ideal candidate should be able to build machine learning models, implement algorithms, and work on automation systems. The candidate should have hands-on experience with C/C++ and a solid understanding of cloud architecture. Key Responsibilities: • design, build, test, and deploy AI models and applications • build and train machine learning models to solve specific problems. • prepare and clean data to ensure its accuracy and suitability • Be able to understand complete AI Architecture and use AI engineering tools • Have excellent Big Data knowledge for Data Analytics Years of experience needed – • 4-6 years of experience. Technical Skills: • Must have hands-on experience on AI skillsets such as - AI engineering, AI Platforms (Chat, CoPilot, Gemini, etc), GenAI, Automation frameworks • Should be able to create and interpret dashboards using - PowerBI • Have strong Cloud expertise in Architecture, observability, tools, AI, operations, • Very Strong expertise in engineering with focus on Azure, Snowflake, Databricks, Kubernetes • Strong hands-on experience in - C, C++ Data One, Assurance One & Conversion • Strong hands-on experience in Big Data Skills such as Data Science, Analytics, Engineering, Testing, • Must have experience on Conversion / Migration - Data transformation & migration biller and non-biller migration of large data - Informatica or other ETL tools • Data Mapping, Gap analysis, data quality • Batch vs Real-Time Streaming data migration • Have working experience with AI tools and frameworks - AI engineering , AI Platforms (Chat, CoPilot, Gemini, etc), GenAI, Automation frameworks • Deep understanding of Telco, Billing, Revenue, Accounting domains are strongly preferred Strong Expertise in Cloud technologies in architecture, observability, tools, AI, operations, engineering - Azure, Snowflake, Databricks, Kubernetes