Working in Technology (WiT) - Agentic AI Development - Summer 2027

William Blair is seeking graduate students to join our technology team for a 12-week internship program during the summer of 2027. The program is designed to promote technology careers among high performing individuals from underrepresented backgrounds in the technology space, including but not limited to women currently enrolled, or intending to enroll, in a technology related program. Interns will work alongside William Blair engineers and business partners to design, build, and test AI agents that support the firm’s investment banking, investment management, and private wealth management businesses, as well as its corporate functions. The summer program also includes mentorship, training, community service, social events, and a final project presentation to technology leadership.

Responsibilities include but may not be limited to:

• Help design, build, and test AI agents and agentic workflows that automate tasks for William Blair teams, such as summarizing research, extracting data from financial documents, and preparing for client meetings
• Connect agents to firm data sources, APIs, and Microsoft 365 applications using tool calling and the Model Context Protocol (MCP), with guidance from senior engineers
• Apply prompt engineering, context engineering, and retrieval-augmented generation (RAG) techniques to improve agent accuracy and reliability
• Use AI coding assistants to accelerate development while following William Blair’s coding, testing, code review, and release standards
• Create evaluations and test cases that measure agent accuracy, cost, and performance before agents are released to users
• Follow William Blair’s AI, information security, and data privacy policies, including access controls, guardrails, and human review of agent output in a regulated financial services environment
• Work in Agile teams with engineers, product managers, and business partners to gather requirements, share progress through demos, and present a final project to technology leadership

Required Qualifications:

• Full-time students currently pursuing a Master’s degree in Computer Science/Engineering, Data Science, or a related field with anticipated graduation between December 2027 and June 2030
• Coursework or project experience in Python; familiarity with at least one of the following: JavaScript/TypeScript, C#, SQL
• Foundational understanding of large language models (LLMs) and machine learning concepts
• Understanding of data structures, algorithms, and APIs
• Strong interest in AI and agentic development and the ability to quickly learn new technologies
• Excellent communication, presentation, critical thinking, and problem-solving skills
• Organized, with a high attention to detail, and works well in team environments

Preferred Qualifications:

• Projects, hackathons, or coursework building with LLM APIs (e.g., Anthropic Claude, Azure OpenAI)
• Familiarity with agent frameworks and SDKs such as Claude Agent SDK, LangChain/LangGraph, or Microsoft Semantic Kernel
• Familiarity with MCP servers, multi-agent systems, or RAG pipelines using vector search
• Experience with AI coding tools such as Claude Code or GitHub Copilot
• Familiarity with Microsoft Azure, Databricks, Git, and Azure DevOps
• Interest in financial services and how AI can support investment banking, investment management, and wealth management
• GitHub portfolio demonstrating AI or software projects and experience in Agile practices