At Moody's, the business problem is to turn today's risks into tomorrow's opportunities by creating an inclusive environment where everyone feels welcome to be who they are, and to identify strategic opportunities and build scalable, enterprise-grade AI solutions that align with strategic business objectives and drive measurable business impact.
Requirements
- Proficiency in Python/Javascript or similar, with demonstrated leadership in implementing enterprise-scale frameworks like LangChain, SmolAgents, LlamaIndex, or similar.
- Experience architecting and deploying production AI systems.
- Demonstrated experience (2-3) leading generative AI initiatives and strategy development.
- Advanced proficiency in enterprise data architecture, including experience with data governance, privacy frameworks, and large-scale data processing using tools like Pandas, NumPy, SQL, and cloud platforms (AWS/Azure/GCP).
- Experience evaluating emerging AI technologies, and establishing best practices from academic and industry sources.
- Ability to assess technology risks and opportunities.
- Proven track record of translating AI research into business value.
Responsibilities
- Embed with senior leadership across business units to understand complex organizational challenges and identify high-impact AI transformation opportunities that align with strategic objectives.
- Design, build, and deploy comprehensive AI-powered solutions including advanced automation frameworks, intelligent data pipelines, predictive analytics platforms, and custom enterprise tools that meet stringent financial industry standards.
- Serve as the senior technical authority and AI strategist for assigned business units, establishing AI best practices, security protocols, and compliance frameworks.
- Lead participation in the Applied AI team, driving knowledge sharing initiatives, establishing technical standards, and mentoring junior engineers across multiple business units.
- Drive adoption of AI solutions at scale, designing training programs for diverse user groups and managing the organizational change process for AI tool implementation.
- Oversee multiple concurrent AI initiatives, managing project timelines, resource allocation, and stakeholder expectations while ensuring alignment with business priorities.
- Capture and leverage organizational knowledge to transform raw data into actionable insights, aligning AI platforms with strategic business objectives and driving measurable business impact.
Other
- Advanced Degree: MSc/PhD in Computer Science, Statistics, Economics, Data Science, Mathematics, Financial Engineering, or related quantitative field.
- Professional Development: Demonstrated commitment to continuous learning in AI/ML through certifications, publications, or conference participation.
- Leadership Foundation: Evidence of technical leadership capability, business acumen development, and successful track record of driving organizational change.
- Travel requirements not specified, but may be required for business units and team collaboration.
- Must be eligible to work in the US, with consideration for reasonable accommodation for qualified individuals with disabilities or based on a sincerely held religious belief.
