Core AI Engineer

Role Summary:  

The Core AI Engineer is responsible for building and maintaining SGX's shared AI services and platform infrastructure. This role is the backbone of the hub-and-spoke model, enabling deployed engineers and business units to deliver AI use cases reliably and at scale. 

Team size: 2-3 engineers in the Core Team 

Role Responsibilities:  

• Build and maintain shared and reusable services around document intelligence, knowledge & data, agent orchestration and agentic applications 

• Create additional reusable services and components for deployed engineers to build with 

• Set up and maintain monitoring for AI services and use cases 

• Define APIs, integration patterns, and engineering standards 

• Support deployed engineers with technical guidance and code review 

• Contribute technical expertise to AI use case inventory and governance documentation 

• Participate in pre-deployment reviews for medium and high-risk use cases 

Role Requirements:  

• Strong software engineering (Python, cloud services, CI/CD) 

• Experience with LLM APIs, RAG architectures, or knowledge graphing 

• Understanding of data governance and security in regulated environments 

• Ability to work autonomously and document decisions 

• Experience designing and maintaining APIs and shared services 

• Comfortable setting standards and guiding other engineers 

Preferred Skills:  

• Experience in financial services or regulated industries 

• Familiarity with Google Cloud Platform and Gemini APIs 

• Experience with agent orchestration frameworks 

• Background in MLOps or AI/ML platform engineering