At a Glance
- Tasks: Lead customer adoption of AI solutions and provide technical guidance.
- Company: Join Moody's, a global leader in risk assessment and AI innovation.
- Benefits: Inclusive culture, competitive salary, and opportunities for professional growth.
- Other info: Collaborative team environment with a focus on continuous improvement and innovation.
- Why this job: Make a real impact by helping clients navigate uncertainty with cutting-edge AI technology.
- Qualifications: 3+ years in software delivery, strong client-facing skills, and knowledge of AI concepts.
The predicted salary is between 63000 - 77000 £ per year.
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
- 3+ years of experience delivering software implementations, customer trials or technology adoption programs, preferably within financial services, financial software, data or analytics
- Strong client-facing delivery experience, including requirements gathering, solution configuration, stakeholder management, onboarding and training
- Working knowledge of RESTful application programming interfaces, JSON, data integration principles and enterprise technology ecosystems. Familiarity with SOAP application programming interfaces preferred
- Experience using customer relationship management or enterprise resource planning platforms, such as Salesforce, Microsoft Dynamics or SAP
- Ability to analyse business workflows and identify opportunities to apply artificial intelligence, automation and data-driven solutions
- Excellent verbal and written communication skills, with the ability to build strong relationships and explain technical concepts to both technical and non-technical stakeholders
Required:
- Experience supporting end-to-end customer implementations or trials, including discovery, onboarding, training, engagement monitoring, issue resolution and feedback collection
Preferred:
- Familiarity with financial data, company information, credit research, corporate ownership or risk management solutions
- Experience working with Model Context Protocol services, agentic workflows, generative artificial intelligence platforms or embedded data solutions
- Familiarity with basic coding and analytics principles, including HTML, Python, JavaScript or data visualisation tools
- 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 required, preferably in Finance, Banking, Economics, Business, Information Systems, Computer Science, Data Science, Engineering or a related discipline
- Master’s degree, Master of Business Administration or equivalent relevant professional experience preferred
Responsibilities
- Enable customers to successfully adopt Moody’s generative artificial intelligence and data solutions through implementation leadership, technical guidance and consultative support.
- Lead implementation, onboarding and adoption activities for generative artificial intelligence, agentic workflow, data and Model Context Protocol solutions
- Manage customer engagements from discovery and requirements gathering through technical onboarding, training, feedback collection and completion
- Conduct workflow assessments to identify customer use cases, business requirements and opportunities for artificial intelligence-enabled improvements
- Support customers with solution configuration, access, entitlements, application programming interface integrations and technical setup
- Deliver product demonstrations, workshops and user and technical training remotely and on-site
- Develop customer-facing prompts, dashboards, onboarding guides, training materials and implementation documentation
- Provide best-practice and consultative guidance to support stable deployments and effective solution adoption
- Partner with prospective and existing customers to validate use cases and support strategic commercial opportunities
- Collaborate with client technical teams and internal subject-matter experts to investigate and resolve product, data, access and integration issues
- Gather structured customer feedback and communicate validated requirements and enhancement opportunities to Product Management and Strategy teams
- Maintain accurate project, trial and pipeline reporting using internal tracking and customer relationship management systems
- Contribute to continuous improvement through documentation reviews, methodology enhancements, reusable templates and knowledge-sharing materials
- Work independently across assigned engagements while escalating material risks, issues and dependencies through established channels
- Travel occasionally to customer locations when required
About the Team
Our Solutions Delivery team connects Product, Sales, Customer Success and customer needs to drive adoption of Moody’s generative artificial intelligence and agentic solutions. The team enables customers and internal teams to understand, implement and adopt artificial intelligence and embedded data solutions, translates customer feedback and implementation experience into product and roadmap improvements, and supports strategic commercial opportunities through demonstrations, trials, workflow design and technical validation. By joining our team, you will contribute to customer engagements involving generative artificial intelligence, agentic workflows, enterprise data and scalable integrations across global markets.
Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.
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.
Product Consultant, GenAI & Agentic Solutions in London employer: Moody's Corporation
At Moody's, we pride ourselves on being an exceptional employer, particularly for those in the AI/ML product management space. Our collaborative work culture fosters innovation and creativity, while our commitment to employee growth ensures that you will have ample opportunities to develop your skills and advance your career. Located in a vibrant city, we offer unique advantages such as access to cutting-edge technology and a diverse client base, making your contributions impactful and rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land Product Consultant, GenAI & Agentic Solutions in London
✨Join Local Tech Meetups
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We think you need these skills to ace Product Consultant, GenAI & Agentic Solutions in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Moody's Corporation.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Moody's Corporation and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Moody's Corporation
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Moody's Corporation uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
