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Moody's Corporation
VP Mgr-Applied AI Engineering. Job in Charlotte Gr8Jobs
Career Insights for Vice President of Engineering
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What they do
A Vice President of Engineering is responsible for providing leadership in planning, establishing and directing all aspects of the company's engineering policies, objectives and initiatives based on product and profitability goals. Responsible for supplying and maintaining adequate resources for Engineering functions in the pursuit of the company's strategic goals and operational plans.
$195,808 / year median in North Carolina
+14% projected growth
Job Description
hackajob is collaborating with Moody's Corporation to connect them with exceptional professionals for this role. At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies
- Deep understanding of large language models (LLMs) and ability to build enterprise-capable applications utilizing them
- Expertise in AI architecture and ability to set strategic direction for AI Hub and Center of Excellence initiatives
- Strong leadership skills to manage diverse technical teams, including LLM Ops, UI/UX development, and DevOps
- Ability to design and maintain evaluation frameworks for AI models, including load testing and CI/CD integration
- Proficiency in developing tools for model routing, fine-tuning, and gateway testing
- Demonstrated experience in infrastructure management, including environments for development, UAT, and production
- Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Strong experience using AI tools to lead innovation initiatives. Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization Education
- Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field
- Advanced degree preferred Responsibilities
- Set strategic direction for AI Hub and Center of Excellence initiatives
- Collaborate with stakeholders to identify business needs and prioritize AI engineering projects
- Lead development of enterprise AI applications leveraging LLMs
- Oversee creation and maintenance of evaluation tools and frameworks for AI models
- Manage teams responsible for model routing, fine-tuning, and component library development
- Direct UI/UX development for AI platforms and tools
- Ensure robust DevOps practices, including CI/CD pipeline management and infrastructure as code
- Communicate new designs and technologies to governance bodies and stakeholders About the Team Our Applied AI Engineering team is responsible for driving innovation and building scalable AI solutions across Moody's.
- $244,600.
Benefits
- Paid Time Off (PTO)
- Financial Aid/Assistance
- 401(k) Plans
- Employee Stock Options (ESOs)