AI Intern

Overview

Build an MVP AI assistant for the CTO office, design workflows, integrate systems, and prototype.

Key Responsibilities

• secure integration
• prototype development
• mvp delivery
• process mapping
• workflow design
• kpi instrumentation

Tasks

-Integrate securely with enterprise systems and partner with Security for reviews -Build end-to-end prototypes: data prep (Python/SQL), agent logic (Dataiku or similar), and lightweight UIs for demos. -Ship an MVP Chief-of-Staff AI agent for the CTO office within 10–12 weeks (meeting prep/briefs, decision memos, action-item capture, stakeholder Q&A, knowledge retrieval across Outlook/Teams/SharePoint/Confluence/Jira). -Map processes (BPMN or equivalent) to find automation candidates; quantify business value (hours saved, cycle-time reduction, error-rate deltas) and prioritize a backlog with acceptance criteria. -Design agent workflows (tool use/functions, RAG, multi-agent orchestration, memory, guardrails) and instrument success with clear KPIs (task success rate, precision/recall for retrieval, latency, and cost/run).

Requirements

• mba
• python
• sql
• tableau
• openai
• llms

What You Bring

-Currently enrolled in an MBA or MS program; technical fluency required (you can read/write basic code and talk data). -Analytics basics: build a small dashboard (Tableau/Sigma) and compute straightforward product metrics. -Hands-on with Python and SQL; call REST APIs, parse JSON -Communication: concise writing (1-pagers, READMEs) and confident exec-level presentations. -Execution style: bias to action, iterate quickly, seek feedback, and manage your own project plan. -Run fast experiments: with documented results. -Business skills: requirements gathering, prioritization, building a clear backlog from ambiguity, and delivering to a deadline. -Communicate crisply: weekly 1-page status, exec-ready demo scripts, and an operational run book so IT can support what you build after the internship. -Experience with OpenAI APIs, prompt design -Working knowledge of LLMs and agent patterns: RAG, tool/function calling, planning, memory, and evaluation

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About Prologis

-Provides prime distribution centers and warehouses for industries like retail, e-commerce, automotive, and technology. -Focuses on designing and managing large-scale logistics facilities that support global supply chains. -Leverages innovative technologies to optimize warehouse operations and drive efficiency for tenants. -Expands its footprint through strategic acquisitions in key logistics hubs worldwide. -Develops sustainable and adaptable logistics environments for future growth. -Known for quickly adapting to changing market demands, ensuring resilience in operations.

Sector Specialisms

Security Clearance

-offers contingent on successful background verification.