AI Intern Summer 2027 Internship - Los Angeles, CA

JLL•Los Angeles, CO

10h•Hybrid

About The Position

We are currently seeking a Summer Intern in AI Analyst to join our Governance team. In this role, you will learn applied artificial intelligence development, agentic automation design, and AI governance frameworks. As a Summer Intern in AI Analyst at JLL, you will: Agentic & Automated Workflow Development : Prototype and evaluate autonomous AI agents and multi-step agentic workflows capable of task decomposition, tool use, and automated reasoning to streamline governance and operations. Process Automation : Identify operational bottlenecks across the portfolio and design automated pipelines that minimize manual data entry and recurring administrative tasks. Data Analytics & Reporting : Assist in synthesizing portfolio data, improving data validation checks, and building automated dashboards to ensure high-reliability reporting for leadership. Tool Research & Evaluation : Benchmark emerging AI platforms, open-source agent frameworks (e.g., LangChain, CrewAI), and Google AI solutions against business criteria such as accuracy, latency, security, and cost. Cross-Portfolio Discovery : Partner with operational teams to scope high-impact AI use cases, document functional requirements, and establish evaluation benchmarks. Governance & Risk Assessment : Document safety, hallucination mitigation, compliance, and responsible AI considerations for deployed agents and automated pipelines. Deliverable Communication : Translate technical findings into concise executive summaries, visual architecture diagrams, and actionable presentations for non-technical stakeholders.

Requirements

Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, Business Analytics, or a related field.
Foundational proficiency in Python and familiarity with REST APIs.
Hands-on exposure to LLMs (Gemini, OpenAI, Claude), prompt engineering techniques, and basic agentic concepts (tool calling, chaining, memory, multi-agent coordination).
Working knowledge of SQL, data analysis libraries (Pandas), or visualization tools (Looker Studio, Power BI, Tableau).
Ability to articulate technical AI concepts clearly to non-technical business partners.
Permanent US work authorization required.
This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship.

Responsibilities

Prototype and evaluate autonomous AI agents and multi-step agentic workflows capable of task decomposition, tool use, and automated reasoning to streamline governance and operations.
Identify operational bottlenecks across the portfolio and design automated pipelines that minimize manual data entry and recurring administrative tasks.
Assist in synthesizing portfolio data, improving data validation checks, and building automated dashboards to ensure high-reliability reporting for leadership.
Benchmark emerging AI platforms, open-source agent frameworks (e.g., LangChain, CrewAI), and Google AI solutions against business criteria such as accuracy, latency, security, and cost.
Partner with operational teams to scope high-impact AI use cases, document functional requirements, and establish evaluation benchmarks.
Document safety, hallucination mitigation, compliance, and responsible AI considerations for deployed agents and automated pipelines.
Translate technical findings into concise executive summaries, visual architecture diagrams, and actionable presentations for non-technical stakeholders.