Need Senior AI/GenAI/ ML Engineer with Python, Platform & Data Engineering, RAG, Infrastructure, DevOps Exp.:: Min.12+ Yrs Exp. Required:: Addison, TX / Charlotte, NC (Onsite)

Job Title: Senior AI/GenAI/ ML Engineer Location: Addison, TX / Charlotte, NC (Onsite) NOTE: Minimum Exp: 12+ Years required Role Overview: We are looking for an AI Platform Engineer—a builder who can architect the "factory" where AI is made. 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: • Platform Architecture: Design and develop a "Model-as-a-Service" platform that allows non-experts to use drag-and-drop components to build AI solutions. • RAG-as-a-Service: Build and optimize end-to-end Retrieval-Augmented Generation (RAG) pipelines, including sophisticated chunking strategies and vector database management. • Tooling & Libraries: Develop and maintain MCP (Model Control Protocol) libraries, clients, and servers to connect various data sources to the AI engine. • Infrastructure Management: Help manage and optimize one of the largest on-premise GPU farms in the U.S. banking sector (500+ Nvidia nodes). • Agentic AI: Build a repository for Agentic AI where users can select existing agents or build custom ones for specialized tasks. • CI/CD Integration: Integrate AI deployment pipelines with enterprise-level CI/CD tools like Jenkins and Ansible. • Compliance & Guardrails: Implement corporate-level guardrails and work within Model Risk Management (MRM) 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 (12-15+ years) • Industry Knowledge: You must stay current with the "latest and greatest" in AI (e.g., rag-less inferencing, agentic frameworks). • Problem Solver: Must be able to take a use case from a business unit and translate it into a scalable platform service. • Experience with Scale: Experience working with large-scale GPU farms and high-volume data environments is highly preferred.