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The Senior AI Engineer will design and implement enterprise-scale AI solutions, including LLM-powered automation, agentic workflows, and RAG systems. The role involves integrating AI into the software development lifecycle and collaborating with cross-functional teams to advance AI governance and technical maturity.
Lead AI Engineer designing and implementing enterprise-scale AI solutions—LLM integration, RAG systems, agentic AI, MCP servers—within RBC's SDLC using .NET/C#, Java, and Python.
The Senior Specialist, Data Science will design and maintain automated ELT pipelines using dbt Core and GCP, while managing infrastructure via Terraform and supporting MLOps initiatives. The role focuses on building scalable data architectures, optimizing BigQuery performance, and integrating enterprise data sources.
The Senior Software Engineer will design, develop, and deploy AI/ML models and pipelines to improve operational efficiency within the aerospace and defense sector. The role involves working with Python, MLOps practices, and generative AI technologies in a hybrid work environment.
The AI Business Analyst (Forward Deployment Engineer) acts as a bridge between business units and technical teams to implement and integrate AI and GenAI solutions. The role involves translating business requirements into technical specifications, performing custom scripting, and providing training to ensure effective adoption of AI products.
The Senior Data Scientist II will design, develop, and deploy AI-enabled analytical products for government customers using Java, Python, and generative AI technologies. The role involves building scalable data pipelines and production-grade machine learning models within a cross-functional team.
This role involves identifying operational pain points and implementing AI solutions to improve productivity and automate processes. The analyst will design AI prototypes, manage stakeholder requirements, and develop frameworks to support sustainable AI adoption within the organization.
Build production-grade AI solutions and LLM applications in Python, integrating APIs and optimizing performance on AWS for a global investment fund.
Full-Stack AI Engineer building secure, scalable web applications with React/Next.js, Node.js, and PostgreSQL, integrating LLM/GenAI APIs and leveraging AI coding tools across the full development lifecycle on Singapore's government tech stack.
The Technology Engineer will build and maintain the company's investment platform while driving the adoption of AI-assisted development tools. The role involves full-stack development, managing vendor integrations, and implementing generative AI solutions within a regulated financial environment.
Identify operational pain points and design AI prototypes, monitor AI deployments, and conduct workshops to build AI literacy. Core technologies involve LLMs, prompt engineering, Python, and cloud deployments for ML models.
Business Analyst driving AI adoption in Singapore’s public sector by identifying automation opportunities, prototyping solutions, and translating technical concepts for non-technical stakeholders.
The Technical Business Analyst will identify operational inefficiencies to solve with AI, design AI prototypes, and drive AI adoption across the organization. The role involves collaborating with stakeholders to build AI literacy, monitoring project performance, and developing standards for responsible AI implementation.
Business Analyst focused on AI adoption and prototyping, identifying automation opportunities across government divisions, building LLM-based prototypes, driving AI literacy among public officers, and tracking initiative outcomes.
Drive AI adoption in government by identifying automation opportunities, prototyping solutions, and training teams to use LLMs responsibly in daily workflows.
The Business Analyst (AI) identifies AI opportunities, bridges business needs with tech solutions, and drives AI adoption across processes, focusing on Generative AI and LLMs.
A Technical Business Analyst focused on identifying AI automation opportunities in public sector operations, designing AI prototypes, and driving adoption across government divisions while ensuring responsible AI use and tracking efficiency gains.
Drive responsible AI adoption in a social-services organization by identifying use cases, prototyping solutions, and guiding teams on safe, effective AI use.
Designs and implements AI-driven solutions for financial systems, focusing on GenAI, LLMs, and agentic architectures to solve business problems and optimize workflows.
Designs and evolves Invesco’s Azure cloud platform, driving automation, AI-powered engineering, and scalable cloud solutions for enterprise use. Focuses on platform architecture, DevOps, and AI adoption to enhance developer productivity and operational efficiency.
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