GCP Data Engineer

$63.13 - $71.13 Outstanding long-term contract opportunity! A well-known Financial Services Company is looking for a GCP Data Engineer in Charlotte, NC (Hybrid). Work with the brightest minds at one of the largest financial institutions in the world. This is a long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today.

Contract Duration:

12 Months •Required Skills & Experience•+ 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education. + 5+ years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education + Strong proficiency in Python and AI/ML frameworks (PyTorch, TensorFlow). + Hands on experience using session and memory for building multi-agent systems along with using MCP tools. + Hands-on experience with LLMs, transformers, and Hugging Face ecosystem. + Knowledge and experience with vector databases and RAG technique for semantic search. + Familiarity with cloud AI services (AWS SageMaker, Azure OpenAI, GCP Vertex AI). + Understanding of MLOps practices for scalable AI deployment. •What You Will Be Doing•+ Consult on complex initiatives with broad impact and large-scale planning for Software Engineering. + Review and analyze complex multi-faceted, larger scale or longer-term Software Engineering challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors. + Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables. + Strategically collaborate and consult with client personnel. + Design and implement Generative AI models for text, image, or multimodal applications. + Develop prompt engineering strategies and embedding-based retrieval systems. + Integrate Gen AI capabilities into web applications and enterprise workflows. + Build agentic AI applications with context engineering and MCP tools.