Find & Apply For Artificial Intelligence Engineer Jobs in Charlotte, North Carolina

Job Description Insight Global is seeking a Data Engineer for a top financial services client. This individual contributor will help build scalable AI-enabled services that connect enterprise data with large language models. The position is approximately 60% MCP and API development and 40% data engineering, with responsibility for developing Model Context Protocol solutions, APIs, prompts, and cloud-based data pipelines. The ideal candidate combines strong Python, SQL, AWS, Kafka, and data-modeling experience with hands-on knowledge of API development, LLM integration, and prompt engineering. This is an excellent opportunity for an engineer who enjoys owning solutions across data ingestion, transformation, AI integration, and downstream delivery.

Key Responsibilities

• Spend approximately 60% of the role building and supporting MCPs and APIs
• Spend approximately 40% of the role performing AWS-focused data engineering
• Design, develop, and maintain Model Context Protocol implementations
• Build APIs that expose data and AI capabilities to downstream applications
• Perform prompt engineering and integrate solutions with LLMs
• Design, build, and maintain scalable data pipelines using AWS services, including Glue and Lambda
• Develop Kafka-based data ingestion and streaming workflows
• Create and optimize data-processing workflows using Python and PySpark
• Build and support APIs, preferably using FastAPI
• Work with DynamoDB and data warehouse architectures
• Maintain data quality, reliability, scalability, and performance
• Translate business and technical data requirements into scalable solutions
• Collaborate with engineering, product, data, and other cross-functional teams
• Participate in code reviews and contribute to data engineering and API-development best practices Skills and Requirements
• 7+ years of hands-on data engineering experience
• 4+ years of hands-on AWS experience,
• Strong understanding of cloud architecture and concepts
• Hands-on experience with AWS Glue, Lambda, and DynamoDB
• Experience developing APIs and Model Context Protocols (MCPs)
• Experience with Claude or Codex and prompt engineering
• Experience working with large language models (LLMs)
• Java development experience
• Strong Python development experience and using Pyspard
• Strong SQL skills
• Apache Kafka experience
• Experience building end-to-end data pipelines
• Strong knowledge of data domains, data modeling, and data analysis
• Experience designing data ingestion, transformation, and delivery workflows
• Ability to clearly explain technical decisions through prior project examples
• FastAPI experience
• Experience with data warehouse architecture
• Financial services industry experience We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day.

We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to HR@insightglobal.com.