About the Role:

Grade Level (for internal use):

The Team:

Our Digital Technology Services (DTS) and Technology Strategy & Governance (TSG) teams, within the CIO organization, deliver secure, reliable, and innovative enterprise solutions that enable our people and customers to perform at their best. We foster a Client-First and Architecture-First mindset, focusing on resilient services, strong cybersecurity, and continuous innovation to power the markets of the future.

At S&P Global, the AI Agent Developer Intern in the Agile & PPM Tools team supports backend development and AI-driven enhancements for Enterprise Portfolio Management (EPM) and Azure DevOps platforms. Working within a SAFe Agile framework, this role collaborates with cross-functional teams to design, build, and maintain scalable, secure, and high-availability solutions.

The position contributes to the development, testing, and support of AI-powered capabilities, including intelligent agents, integrations, and automation features that improve user experience and operational efficiency.

Responsibilities and Impact:

• Assist in building LLM-powered agents (e.g., task planning, tool-use, retrieval-augmented generation).
• Develop and maintain agent workflows: prompting strategies, function/tool calling, memory, and context management.
• Integrate agents with APIs and systems e.g., internal services.
• Create evaluation approaches for agent quality (accuracy, groundedness, latency, cost)
• Add safety and reliability controls: input/output validation, policy checks, rate limiting, fallbacks, and human-in-the-loop steps.
• Write clear documentation for prototypes, experiments, and handoffs.
   

Compensation/Benefits Information: (This section is only applicable to US candidates) 

S&P Global states that the anticipated base salary range for this position is $25 to $30. Final base salary for this role will be based on the individual’s geographic location, as well as experience level, skill set, training, licenses and certifications. 

 This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan. 

What We’re Looking For:

Basic Required Qualifications:

Technical Qualifications

• Pursuing or recently completed a degree in Computer Science, Software Engineering, AI, or a related field
• Exposure to software development or AI concepts through coursework, projects, or internships (0–6 months preferred)
• Basic understanding of LLMs, Generative AI, and agent-based systems
• Proficiency in at least one programming language such as Python, JavaScript, or C#
• Familiarity with APIs, REST services, and backend development concepts

Soft Skills

• Strong problem-solving and analytical thinking abilities
• Ability to learn new technologies quickly, especially in AI/ML domains
• Good communication skills and ability to document work clearly
• Ability to work collaboratively in a team environment

Additional Preferred Qualifications:

Technical Qualifications

• Experience with LLM frameworks (e.g., LangChain, Semantic Kernel, OpenAI APIs, Azure OpenAI)
• Understanding of Retrieval-Augmented Generation (RAG), embeddings, and vector databases
• Exposure to cloud platforms (AWS, Azure) and serverless architectures (e.g., Lambda)
• Knowledge of AI evaluation metrics such as accuracy, latency, cost, and hallucination detection

Soft Skills

• Curiosity and passion for AI and emerging technologies
• Ability to experiment, prototype, and iterate quickly
• Attention to detail, especially in testing and validation
• Strong ownership mindset and willingness to take initiative

Right to Work Requirements:

This role is limited to persons with indefinite right to work in the United States. 

What’s In It For You?

Our Mission:

Advancing Essential Intelligence.

Our People:

We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to