Sumitomo Mitsui Banking Corporation – SMBC Group

AI/GenAI Staff Engineer – Vice President

Sumitomo Mitsui Banking Corporation – SMBC Group

full-time

Posted on:

Location Type: Hybrid

Location: Charlotte • North Carolina • 🇺🇸 United States

Visit company website
✨ AI Apply
Apply

Job Level

Lead

Tech Stack

AzureCloudPythonPyTorchTensorflow

About the role

  • As a Staff AI/GenAI Engineer in the Platform Engineering team, you will play a pivotal role in designing, developing, and deploying AI platforms and solutions that drive business value
  • You will work closely with stakeholders in architecture, technology, data, and business organizations
  • You will partner with Azure, Databricks, and other infrastructure providers to build and operate the AI/GenAI platform, ensuring robust, scalable, and secure architecture
  • Define AI Platform architecture: Design and architect a scalable, secure, and compliant AI platform utilizing Databricks and Azure Cloud Services as the foundational backbone
  • Develop platform infra and services: Develop infrastructure and REST/Websocket-based AI/LLM platform services for consumption by different downstream applications
  • Own ML/LLM ops: Apply standardized architecture patterns and MLOps/LLMOps practices for model lifecycle management, observability, and security
  • Data Engineering: Develop efficient and scalable data pipelines to support AI/ML data requirements
  • GenAI Solution Development: Build and maintain robust RAG (Retrieval-Augmented Generation) and Agentic orchestration layers using tools like LangGraph and others to enable complex, multi-step GenAI workflows
  • Evaluate Emerging Technology: Proactively identify and evaluate emerging Generative AI technologies and integrate those that drive demonstrable business value
  • Technical Mentorship: Mentor and educate broader engineering teams on state-of-the-art Generative AI techniques and platform capabilities

Requirements

  • Bachelor’s degree in Computer Science, Machine Learning, Data Science, or related field
  • 5+ years of hands-on experience in developing, deploying, and maintaining GenAI or advanced ML models in production environments
  • 3+ years of experience in Python and GenAI frameworks/tools e.g. Databricks Vector Search, Azure AI Search, Azure AI document intelligence, LangGraph, haystack, Llama Index etc.
  • Advanced knowledge of prompt engineering, model fine-tuning, embedding models, and effective RAG implementation methodologies, including vector databases, chunking strategies, GraphRAG etc.
  • Deep familiarity with MLOps/LLMOps tools (e.g. MLflow), data platforms (e.g. Databricks) and cloud platforms
  • Demonstrated experience developing and deploying RESTful services, containerization, and automated CI/CD systems
  • Working knowledge of ML libraries e.g. PyTorch, TensorFlow, Hugging Face Transformers
  • Excellent communication and collaboration skills; proven ability to influence and partner with technical and non-technical stakeholders.
Benefits
  • SMBC’s employees participate in a Hybrid workforce model that provides employees with an opportunity to work from home, as well as, from an SMBC office
  • SMBC provides reasonable accommodations during candidacy for applicants with disabilities consistent with applicable federal, state, and local law

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
PythonGenAI frameworksMLOpsLLMOpsRESTful servicescontainerizationCI/CDprompt engineeringmodel fine-tuningdata pipelines
Soft skills
communicationcollaborationinfluencementorship
Certifications
Bachelor’s degree in Computer ScienceBachelor’s degree in Machine LearningBachelor’s degree in Data Science