At a Glance
- Tasks: Lead the development of cutting-edge AI platforms and applications while driving engineering excellence.
- Company: Join a leading firm at the forefront of AI innovation and digital transformation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Be part of a dynamic team focused on responsible AI and innovative solutions.
- Why this job: Shape the future of AI technology and make a significant impact on real-world applications.
- Qualifications: Extensive software engineering experience and strong leadership skills in AI development.
The predicted salary is between 63000 - 77000 £ per year.
Skills and Competencies
- 12+ years of software engineering experience, including 5+ years leading engineering teams and delivering complex, large-scale, multi-team initiatives with measurable business impact.
- Experience leading multiple teams or groups of teams, including managing engineering managers, technical leads, and staff-level engineers with accountability for delivery outcomes across a portfolio.
- Strong technical depth in TypeScript, Python, C#, or similar technologies, with the ability to engage credibly in architecture and code reviews, challenge design decisions, and assess technical risk.
- Deep expertise in enterprise AI applications built on large language models, including agents, retrieval augmented generation, orchestration frameworks, model optimization, and evaluation frameworks.
- Hands-on experience building AI/ML applications (RAG, agent frameworks, MCPs, skills, harnesses) and taking them to production or in platforming (LLM or MCP gateway, agentic runtime, auth, data retrieval, eval tooling).
- Experience running AI systems in production at scale, including observability, cost and capacity planning, regression detection, and incident response for AI-powered applications.
- Experience operating production distributed systems on AWS/Azure, with a strong grasp of reliability, observability, and incident response at scale.
- Deep knowledge of cloud-native technologies, serverless applications, event-driven architectures, data and inference pipelines, relational, NoSQL, and vector databases, and modern software architecture patterns.
- Proven track record of owning multi-year technical strategy and architectural roadmaps, guiding teams from AI prototype through production deployment, and influencing organizational change.
- 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, Artificial Intelligence, or a related discipline, or equivalent professional experience.
Responsibilities
- Lead the strategy, delivery, and evolution of mission-critical AI platforms and intelligent applications while driving engineering excellence across the Digital Content and Innovation organization.
- Define and execute long-term technical strategies while owning the multi-year architecture and technology roadmap for AI platforms and applications.
- Lead, grow, and organize multiple engineering teams, including engineering managers, technical leads, and staff-level engineers, with accountability for delivery outcomes across the portfolio.
- Drive architectural decisions, organizational alignment, and integration of AI-powered solutions using large language models, retrieval augmented generation, orchestration frameworks, and agentic workflows.
- Establish engineering excellence through architecture reviews, code reviews, automated testing, observability, security standards, operational excellence, and machine learning operations practices.
- Own budget planning and cost management, including headcount, cloud infrastructure, model consumption, tooling investments, vendor relationships, and build-versus-buy decisions.
- Partner with product, business, risk, legal, compliance, and audit stakeholders to maximize customer value and implement responsible AI governance practices.
- Attract, develop, and retain engineering talent through mentoring, succession planning, performance coaching, and the cultivation of future engineering leaders.
- Define and report on key metrics that demonstrate platform adoption, delivery performance, reliability, cost efficiency, and measurable business impact.
About the Team
Our Digital Content and Innovation team is responsible for building and deploying intelligent, AI-powered solutions that drive innovation across Moody's products and platforms. The team accelerates the development of next-generation analytical capabilities, enables smarter client experiences, and advances Moody's leadership in applied artificial intelligence. As Principal Engineer, you will define the technical vision, guide strategic investments, build high-performing teams, and help transform applied AI into scalable, production-ready capabilities that deliver measurable value responsibly and at scale.
Principal Software Engineer-AI 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 Principal Software Engineer-AI in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Moody's Corporation or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Moody's Corporation.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Moody's Corporation.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Moody's Corporation that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Principal Software Engineer-AI 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.
