Implementation Engineer

In this role, you will guide clients through implementing and integrating Moody’s solutions, acting as a trusted technical advisor. You will work with cross-functional teams to design integration approaches, address issues, and transfer knowledge. You’ll leverage AI-enabled capabilities to streamline workflows while maintaining responsible AI practices. This position offers hands-on impact across customer engagements and product feedback loops, within a team that embraces emerging technologies.

• Partner with clients to implement and integrate solutions via expert advisory services and technical guidance
• Collaborate with project managers, customer success managers, product consultants, and clients to gather requirements and propose fitting solutions
• Conduct workshops, demos, and training on API capabilities, integration approaches, and best practices
• Diagnose and resolve integration issues and technical challenges throughout the project lifecycle
• Participate in integration testing and user acceptance testing to ensure successful deployment
• Provide technical guidance and knowledge transfer to client administrators and integration development teams
• Maintain accurate project information in internal systems for issue tracking, PM, time reporting, and enhancement requests
• Develop and maintain technical documentation, including integration guides and troubleshooting materials
• Collaborate with product development teams to relay client feedback, support enhancements, and stay updated on industry trends and regulatory requirements

• 1-3 years in a customer-facing technical role, preferably in a SaaS environment
• Strong understanding of APIs (REST and SOAP) for client integrations and troubleshooting
• Knowledge of cloud-based applications and services with ability to advise on integration design
• Excellent analytical and problem-solving abilities to assess complex requirements
• Strong communication, presentation, and stakeholder management skills with ability to translate technical concepts
• Experience delivering technical training, workshops, or knowledge transfer sessions
• Fluency in English; additional languages preferred
• Proven proficiency in AI concepts with hands-on experience using AI tools to streamline workflows and enable AI-powered solutions
• Growing awareness of AI risk management and commitment to responsible AI use

• communication
• stakeholder management
• presentation
• APIs (REST and SOAP)
• cloud-based applications and services
• integration design and troubleshooting