SMBC Group is looking to design, develop, and deploy AI platforms and solutions that drive business value, ensuring industrial-grade performance, compliance, and efficiency in a high-stakes financial environment.
Requirements
- 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.
Responsibilities
- 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.
Other
- 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 requires that employees live within a reasonable commuting distance of their office location.
- Prospective candidates will learn more about their specific hybrid work schedule during their interview process.
- Hybrid work may not be permitted for certain roles, including, for example, certain FINRA-registered roles for which in-office attendance for the entire workweek is required.
- Excellent communication and collaboration skills; proven ability to influence and partner with technical and non-technical stakeholders.
