At a Glance
- Tasks: Lead the design and scaling of AI-driven solutions to transform workflows.
- Company: Join a leading global company focused on innovation and collaboration.
- Benefits: Competitive salary, health coverage, flexible time off, and continuous learning opportunities.
- Other info: Hybrid work model with excellent career growth and family-friendly perks.
- Why this job: Be a visionary leader in AI, making a real impact across the organisation.
- Qualifications: 10+ years experience in AI, strong programming skills, and cloud platform expertise.
The predicted salary is between 70000 - 90000 £ per year.
About the Role
You will lead the design, development, and scaling of AI-driven pipelines to transform workflows across S&P Global. This role requires a strategic leader who can architect end‑to‑end AI data collection and mining solutions using cutting‑edge models, cloud infrastructure, and orchestration tools while managing senior stakeholders and driving adoption at scale. You will be a visionary technical leader with knowledge of designing AI solutions and pipelines and deploying AI applications in production environments. Understanding of foundational models, neural networks and their applications. In addition, cloud infrastructure (AWS/Azure/GCP), orchestration tools (e.g. Kubeflow), and agentic frameworks (e.g. LangChain, AutoGen).
Responsibilities
- Partner with product, engineering, data science, and business teams to integrate AI into core offerings across SPGI.
- Work with executive leadership to prioritize AI investments and resource allocation.
- Engage with external stakeholders (partners, vendors, academia) to foster innovation and collaboration.
- Establish best practices for AI model development, deployment, and monitoring.
- Ensure ethical AI use, compliance with regulations, and mitigation of bias and risks.
- Develop policies for data privacy, security, and responsible AI adoption.
- Oversee AI pilot programs and scaling of successful initiatives.
- Define KPIs to measure AI impact on business performance.
- Drive AI adoption across the organization through training and change management.
- Establish monitoring frameworks for AI system to system performance and drift analysis.
- Develop governance models for ethical AI agent deployment and compliance.
Qualifications
- 10+ years work experience with 5+ years in the AI space.
- Experience with LLMs: Gemini, llama, gpt etc. and OCR: textract, tesseract etc.
- Strong understanding of the use of neural networks, embeddings, transformers etc.
- Cloud platforms (AWS SageMaker, Azure ML; etc).
- Orchestration tools (e.g. Prefect; etc).
- Agentic toolkits (LangChain, LlamaIndex, AutoGen, Google Agentic Framework).
- Experience in productionizing AI applications.
- Strong programming skills in python and common AI frameworks.
- Experience with multi-modal LLMs and integrating vision and text for autonomous agents.
- Proficient written and oral communication in English.
- Excellent presentation skills with a high degree of comfort speaking with senior executives, IT Management, and developers.
- Experience in deployment and management of applications utilizing cloud-based infrastructure.
Right to Work Requirements
This role is open only for candidates with indefinite right to work within the USA.
Compensation & Benefits (US Applicants Only)
Base salary range: $150,000 – $190,000. Final base salary will be based on the individual’s geographical location, experience, and qualifications. Eligible for an annual incentive plan. Not eligible for additional compensation such as an annual incentive bonus or sales commission plan. This role is eligible to receive additional S&P Global benefits.
Benefits
- Health & Wellness: Health care coverage designed for the mind and body.
- Flexible Downtime: Generous time off helps keep you energized for your time on.
- Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
- Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company‑matched student‑loan contribution, and financial wellness programs.
- Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best‑in‑class benefits for families.
- Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.
For more information on benefits by country, visit https://spgbenefits.com/benefit-summaries.
Equal Opportunity Employer
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.
US Candidates Only: Know Your Rights Workplace discrimination is illegal.
Associate Director - AI Engineering employer: S&P Global
S&P Global is an exceptional employer that prioritises the well-being and growth of its employees, offering a dynamic work culture that fosters innovation and collaboration. With a strong focus on health and wellness, generous time off, and continuous learning opportunities, employees are empowered to thrive both personally and professionally. The hybrid work model in vibrant locations like Princeton, New York, and London further enhances work-life balance, making S&P Global a top choice for those seeking meaningful and rewarding careers in AI engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Associate Director - AI Engineering
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like S&P Global!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Associate Director - AI Engineering at S&P Global.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like S&P Global.
✨Apply Directly through Our Website
When you find a suitable opening like Associate Director - AI Engineering at S&P Global, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Associate Director - AI Engineering
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at S&P Global, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at S&P Global. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at S&P Global
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at S&P Global!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.