Forward Deployed Agentic AI Engineer
Job in
Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listed on 2026-07-09
Listing for:
Staffing Spot, Inc.
Full Time
position Listed on 2026-07-09
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description & How to Apply Below
Forward Deployed AI Engineer (Agentic AI | Banking Operations) Job Summary
We are seeking a highly experienced Forward Deployed AI Engineer to design and implement Agentic AI solutions that automate complex business and banking operations. This is a techno‑functional role that combines AI engineering with business process analysis. The ideal candidate will work closely with Operations SMEs and business stakeholders to understand existing workflows, design AI‑driven solutions, and partner with engineering teams to deploy scalable enterprise applications.
Key Responsibilities- Collaborate with Operations SMEs and business stakeholders to understand and analyze current business processes and operational workflows.
- Review process documentation, validate procedures, and identify opportunities for AI‑driven workflow automation.
- Design and develop Agentic AI solutions using modern LLM frameworks such as Lang Chain and Lang Graph.
- Build AI agent workflows, orchestration logic, decision‑making pipelines, and Retrieval‑Augmented Generation (RAG) applications.
- Develop AI‑powered document processing solutions using OCR and intelligent document extraction technologies.
- Create workflow documentation, process maps, and technical design specifications for AI implementations.
- Work with engineering teams to integrate AI solutions with enterprise APIs and business applications.
- Monitor, evaluate, and optimize AI agent performance, ensuring scalability, reliability, and business value.
- Support testing, validation, and continuous improvement of AI workflows and automation solutions.
MUST
- Overall 10‑12 years of IT experience.
- Over 4 years in AI, Machine Learning, or Software Engineering.
- At least 4 years of hands‑on experience building and deploying Agentic AI applications in enterprise environments.
- Experience translating business requirements into scalable AI solutions and working with cross‑functional teams to deliver production‑ready applications.
- Strong programming skills in Python and SQL.
- Hands‑on experience with Agentic AI, Large Language Models (LLMs), RAG, Prompt Engineering, and Multi‑Agent Systems.
- Experience with Lang Chain, Lang Graph, Llama Index, Semantic Kernel, OpenAI, and Azure OpenAI.
- Knowledge of vector databases such as Pinecone, FAISS, or ChromaDB.
- Experience developing REST APIs and cloud‑native AI applications on Azure, AWS, or GCP.
- Familiarity with Docker, Kubernetes, Git, and CI/CD pipelines.
- Excellent communication, analytical, and problem‑solving skills.
- Knowledge of banking operations such as loan origination, loan servicing, commercial lending, or operational workflow automation.
- Experience in business process analysis, workflow mapping, and collaborating with Operations SMEs.
- Exposure to Intelligent Document Processing (IDP), OCR, and enterprise workflow automation.
Skills:
semantic,llamaindex,agentic ai,openai,langgraph,business process analysis,workflow,python,business process,machine learning,software engineers
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