Sr Systems Engineer (AI Delivery)

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

• 5+ years in a technical role such as a systems or software engineer, technical business systems analyst or similar
• Strong problem‑solving ability with a focus on translating business needs into practical low‑code and no‑code AI solutions
• Ability to facilitate innovation sessions with each Line of Business (LOB) to surface ideas, understand workflows, and identify automation and AI opportunities
• Experience delivering AI solutions using tools such as n8n, Claude Enterprise, Claude Coworker, Copilot Studio Lite and Full
• Capability to create step‑by‑step solution tutorials and guide LOB teams through adoption of low‑code AI tools
• Ability to develop custom connectors to common tools used or developed within Moody's
• Comfort working cross‑functionally and communicating technical concepts to non‑technical partners
• Demonstrated proficiency in artificial intelligence concepts, with hands‑on experience using AI tools to streamline workflows and enhance operational efficiency. Proven ability to implement AI‑powered solutions to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use.

 

Education

• Bachelor’s degree in Information Systems, Computer Science, Engineering, or related field preferred

 

Responsibilities

Drive the creation and delivery of low‑code AI solutions for each Line of Business.

• Meet with each LOB to understand processes, pain points, and AI‑driven improvement opportunities
• Plan and lead Innovation Day‑style sessions to showcase available AI tools and gather use cases
• Develop low‑code/no‑code AI solutions leveraging n8n, Claude Enterprise, Claude Coworker, and Copilot Studio Lite and Full
• Create clear documentation and tutorials to support solution rollout and end‑user adoption
• Partner with stakeholders to refine requirements and iterate on solution design
• Ensure scalable, responsible, and secure use of AI tools aligned with organizational standards
• Collaborate with technical and business teams to validate, test, and deploy solutions

 

About the Team

Our team partners closely with business units across the organization to identify opportunities where AI, automation, and modern tooling can enhance operational efficiency and unlock innovation. By joining us, you will help accelerate the adoption of practical, low‑code AI solutions that empower teams, improve workflows, and drive measurable impact across the enterprise.

 

For US-based roles only: the anticipated hiring base salary range for this position is $103,800.00-$150,600.00, depending on factors such as experience, education, level, skills, and location. This range is based on a full-time position. In addition to base salary, this role is eligible for incentive compensation. Moody’s also offers a competitive benefits package, including not but limited to medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement.

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion or creed, national origin, ancestry, citizenship, marital or familial status, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, military or veteran status, or any other characteristic protected by law. Moody’s also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email View email address on powertofly.com . This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications.

For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.

This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act.

Click here to view our full EEO policy statement . Click here for more information on your EEO rights under the law . Click here to view our Pay Transparency Nondiscrimination statement . Click here to view our Notice to New York City Applicants.
Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

For more information on the Securities Trading Program, please refer to the STP Quick Reference guide on ComplianceNet

Please note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee’s tenure with Moody’s.