AI Transformation Intern
About The Position
The AI Transformation Intern is the first dedicated hire supporting a new AI Transformation function within the Finance organization. This function is chartered with a mandate to identify high-impact workflows across Finance and partnered corporate functions to build AI-enabled solutions that deliver measurable outcomes — from accelerating commercial cycles to improving the quality and speed of decision-making. This is an applied AI role, not an exploratory one. The intern works alongside the AI Transformation lead to interview stakeholders across Finance and partnered corporate functions at Ensono to translate their pain points into AI-assisted solutions, and ship working tools and process improvements. The role blends business analyst skills (listening, problem framing, written communication) with hands-on building using tools like Claude Enterprise, Claude Desktop, Claude Code, and VS Code. Successful candidates treat AI as a development environment, not a chat interface. This role is internal-facing and offers meaningful exposure to senior leaders within Finance and adjacent corporate functions. Outputs feed directly into deliverables reviewed at the executive level.
Requirements
- Currently enrolled in a Bachelor’s or Master’s degree program, or recent graduate, in Business, Finance, Information Systems, Data Analytics, Computer Science, or a related field.
- Strong written and verbal communication, with the ability to interview non-technical stakeholders, extract requirements, and translate them into a clear problem statement.
- Demonstrated experience using a generative AI tool (Claude, ChatGPT, Copilot, or equivalent) to build, automate, or ship something — a workflow, script, agent, or application — beyond casual chat use.
- Strong Excel fluency, including formulas, pivots, and working with structured data.
- Comfort working in a code editor (VS Code or equivalent) and reading existing scripts in Python, JavaScript, or similar.
- Attention to detail and a track record of accurate, repeatable work.
- Working business literacy — comfortable with concepts like revenue, margin, cost, and cycle time, with enough curiosity to learn the specifics of Finance and commercial workflows quickly.
Nice To Haves
- Hands-on experience with Claude Desktop, Claude Code, Claude Enterprise, or equivalent agentic AI development environments.
- Experience designing prompts beyond default configurations: system prompts, prompt chaining, structured outputs, or building multi-step agents.
- Familiarity with LLM API usage patterns, including token-cost awareness and basic optimization techniques.
- Familiarity with API key and secrets management practices (e.g., Bitwarden Secrets Manager, GitHub secrets, environment variable hygiene).
- Experience using GitHub or another version control system for code or configuration management.
- Ability to write or meaningfully modify Python or SQL; exposure to data tools such as pandas or notebooks.
- Interest in or exposure to Finance, Procurement, Sales Operations, or commercial workflows in an enterprise setting.
- A portfolio, side project, or work sample demonstrating something built with AI tools — even small.
- Coursework, internships, or projects in Finance, Accounting, Economics, Business, or Consulting — or other exposure to how commercial decisions get made in an enterprise.
Responsibilities
- Partner with stakeholders across Finance and adjacent corporate functions to understand recurring workflows and surface pain points — developing enough working knowledge of the business to engage credibly, recognize what matters in a process, and identify candidates for AI-assisted automation or augmentation.
- Translate stakeholder problems into working solutions using AI development tools — prompts, scripts, and lightweight applications — with a bias toward shipping over experimenting.
- Build and iterate on AI-powered workflows that reduce manual effort in repeatable processes across Finance and other corporate functions, with the explicit goal of delivering measurable business outcomes.
- Develop sound prompt-engineering practice: system prompts, chained reasoning, output validation, and iteration beyond default tool configurations.
- Apply a cost-conscious mindset to AI usage — understanding token economics, optimizing API consumption, and reporting on per-use-case spend.
- Apply a security-conscious mindset to AI usage — proper handling of API keys and secrets, awareness of data exposure risks, and adherence to internal security practices.
- Document workflows, decisions, and reusable patterns so the work compounds across the AI Transformation function rather than living in one person’s head.
- Support ad-hoc analytical and data work in Excel, Python, or SQL as needed to validate solutions and quantify impact.
Benefits
- Unlimited Paid Days Off
- Flexible work schedule
- Depending on location, ability to take advantage of fitness centers
- Health and leave benefits for Full-time associates.
- Annual bonus plan
- Equity grant under our Associate Equity Appreciation Program
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What This Job Offers
Job Type
Full-time
Career Level
Intern
