Associate Machine Learning, AI Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Release the function's pipeline of production tools — prioritized based on business impact as the discovery pipeline emerges.

• Collaborate directly with business stakeholders alongside the Solutions Lead — participate in discovery discussions, pose technical inquiries that reveal genuine constraints, and interpret your findings into appropriate solution formats. The Solutions Lead initiates the dialogue; the engineer provides the technical perspective that determines what gets built.

• Develop headless, API-first, and agent-callable tools by default — every tool is designed to be directly invoked by a human and programmatically by an AI agent as part of a broader workflow. Emphasize API-first design, structured input/output, and clear tool agreements.

• Engage in pair programming with an AI-assisted development environment (Claude Code, Cursor, Copilot, or similar) — treat AI-assisted development as the standard mode of operation, not merely an enhancement. Consistent throughput is the foundational promise of this position.

• Contribute to a catalog of patterns that builds upon itself — document reusable patterns, tool agreements, and architectural choices so that each solution reduces the cost of the next one.

• Create internal tools for the function's operational needs — including, over time, a FinOps agent that tracks AI usage within the function and identifies cost-optimization opportunities.

• Engineer with a focus on token economics — model routing (Haiku for retrieval and classification, Sonnet for reasoning), prompt caching, output validation, and cost/retry discipline. Cost-aware code is quality code.

• Collaborate with Internal IT on the graduation pipeline — work closely with IT to solidify tools that have proven effective and ensure readiness for handoff when a tool transitions to production-grade managed infrastructure.

• Practice security-conscious AI engineering — manage secrets in Bitwarden, maintain environment hygiene, understand data exposure risks, and comply with internal security and AI Spend Finance policy controls.

• Document workflows, decisions, and reusable patterns to ensure that knowledge compounds across the Finance AI Transformation function rather than being retained by a single individual.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related technical field, or equivalent demonstrated experience. Recent graduates are encouraged to apply.

• Proven experience utilizing Claude Code, Cursor, GitHub Copilot Workspace, or a similar AI-assisted development environment to build, release, or significantly contribute to a functioning application — not just casual chat-style usage of AI tools.

• Strong proficiency in Python, including data manipulation, API integration, and creating production-quality scripts.

• Familiarity with at least one additional programming language: TypeScript/JavaScript, Go, Java, or C#.

• Working knowledge of API design (REST, JSON I/O, structured output), version control (Git/GitHub), and fundamental CI/CD concepts.

• Awareness of token costs when utilizing LLM APIs — understanding prompt caching, model selection (Haiku vs. Sonnet vs. Opus), and basic optimization strategies.

• Security-conscious engineering practices — proper management of API keys and secrets, awareness of data exposure risks, and compliance with internal security protocols.

• Excellent written and verbal communication skills, with the capacity to engage directly with non-technical business stakeholders, identify real constraints, ask clarifying questions, and translate findings into clear technical requirements — as well as documentation that another engineer (or an AI agent) can use later. While there is a dedicated Solutions Lead for discovery, the engineer is expected to actively participate in stakeholder discussions, not just receive specifications.

• A strong inclination towards releasing and fostering adoption rather than merely experimenting — a history of completing projects, including side projects, academic work, or internships.

🏝️ Benefits

• Unlimited Paid Days Off

• Three health plan options through Blue Cross Blue Shield

• 401k with company match

• Eligibility for dental, vision, short and long-term disability, life and AD&D coverage, and flexible spending accounts

• Paid Maternity Leave, Paternity Leave, and Sabbatical Leave

• Education Reimbursement, Student Loan Assistance or 529 College Funding

• Enhanced fertility coverage

• Wellness program

• Flexible work schedule

• Depending on location, the ability to utilize fitness centers