Platform Engineer AI Tooling
Job Location:
Charlotte, VT - USA
Monthly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
SMBC Group is a top-tier global financial group. Headquartered in Tokyo and with a 400-year history SMBC Group offers a diverse range of financial services including banking leasing securities credit cards and consumer finance. The Group has more than 130 offices and 80000 employees worldwide in nearly 40 countries. Sumitomo Mitsui Financial Group Inc. (SMFG) is the holding company of SMBC Group which is one of the three largest banking groups in Japan. SMFGs shares trade on the Tokyo Nagoya and New York (NYSE: SMFG) stock exchanges.
In the Americas SMBC Group has a presence in the US Canada Mexico Brazil Chile Colombia and Peru. Backed by the capital strength of SMBC Group and the value of its relationships in Asia the Group offers a range of commercial and investment banking services to its corporate institutional and municipal clients. It connects a diverse client base to local markets and the organizations extensive global network. The Groups operating companies in the Americas include Sumitomo Mitsui Banking Corp. (SMBC) SMBC Nikko Securities America Inc. SMBC Capital Markets Inc. SMBC MANUBANK JRI America Inc. SMBC Leasing and Finance Inc. Banco Sumitomo Mitsui Brasileiro S.A. and Sumitomo Mitsui Finance and Leasing Co. Ltd.
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. To succeed in this role you should be a fast learner who can quickly learn upcoming AI/GenAI technologies and an accomplished coder capable of developing enterprise-scale applications.
This is a unique opportunity to own the GenAI technology stack ensuring industrial-grade performance compliance and efficiency in a high-stakes financial environment.
- 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 andMLOps/LLMOpspractices 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 likeLangGraphand 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.
- Bachelors degree in Computer Science Machine Learning Data Science or related field.
- 3 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 intelligenceLangGraph haystack Llama Index etc.
- Advanced knowledge of prompt engineering model fine-tuning embedding models and effective RAG implementation methodologies including vector databases chunking strategiesGraphRAGetc.
- Deep familiarity withMLOps/LLMOpstools () 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 TensorFlow Hugging Face Transformers.
- Excellent communication and collaboration skills; proven ability to influence and partner with technical and non-technical stakeholders.
SMBCs 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.
SMBC provides reasonable accommodations during candidacy for applicants with disabilities consistent with applicable federal state and local law. If you need a reasonable accommodation during the application process please let us know at
Required Experience:
IC
