AI Platform Engineer

Location: Dallas, TX, Charlotte, NC Position type: W2 contract. Visa: Any visa independent. Platform AI Engineer Our goal is to build an internal, on-premises AI ecosystem that mimics the capabilities of AWS or Azure. You will be responsible for creating a horizontal platform used by various lines of business to deploy AI projects simultaneously. Key Responsibilities Design and develop a Model-as-a-Service platform that allows non-experts to use drag-and-drop components to build AI solutions. Build and optimize end-to-end Retrieval-Augmented Generation pipelines with sophisticated chunking strategies and vector database management. Develop and maintain MCP libraries, clients, and servers to connect various data sources to the AI engine. Help manage and optimize one of the largest on-premises GPU farms in the U.S. banking sector (500+ Nvidia nodes). Build a repository for Agentic AI where users can select existing agents or build custom ones for specialized tasks. Integrate AI deployment pipelines with enterprise-level CI/CD tools such as Jenkins and Ansible. Implement corporate-level guardrails and work within Model Risk Management frameworks to ensure all AI deployments are secure and compliant. Required Technical Skills Expert Python: Deep, hands‑on knowledge is mandatory. Data Engineering: Extensive experience in massive data ingestion and processing. RAG Expertise: Deep understanding of vector databases, inferencing, and advanced chunking strategies. Platform Engineering: Proven experience building tools/platforms that other developers or business units use. Infrastructure Knowledge: Experience mimicking cloud capabilities (AWS/Azure) within a strictly on‑premise environment. DevOps: Familiarity with Jenkins, Ansible, and automated deployment pipelines. Experience & Qualifications Seniority: This is a senior-level role; we are looking for someone with a proven track record of building production‑grade platforms (10‑15+ years). Industry Knowledge: Stay current with the latest AI advancements such as rag-less inferencing and agentic frameworks. Problem Solver: Ability to translate a business unit use case into a scalable platform service. Experience with Scale: Experience working with large‑scale GPU farms and high‑volume data environments is highly preferred. #J-18808-Ljbffr Accord Technologies Inc