Automation Engineer

Embedded AI Builder Inside Finance

Think of this role as being an embedded AI builder inside Finance: you work shoulder-to-shoulder with Finance teams, take full ownership of automation projects from initial scoping through go-live, compress the cycle time between identifying a need and putting a working solution in production, and collaborate hands-on with the Finance teams who rely on your work every day. Success here isn't measured by proofs-of-concept. It's measured by systems that are adopted, trusted, auditable, and running in daily operations, especially when it matters most during month-end and quarter-end close.

Responsibilities

• Own end-to-end delivery: design, build, test, iterate, and deploy AI-enabled solutions from first conversation to production release.
• Translate business needs into technical solutions: understand Finance requirements deeply, guide stakeholders on solution design, and architect implementations grounded in Company's technology stack.
• Embed governance from day one: implement guardrails, fallback behaviors, human-in-the-loop logic, and documentation that satisfies enterprise control and audit requirements.
• Build stable data foundations: identify and integrate relevant datasets into extensible pipelines that power reliable automation.
• Collaborate across disciplines: partner with internal architects on design decisions, debug issues directly with stakeholders, and bring field learnings back to improve the Hub's platforms and practices.
• Document with intent: record technical decisions, assumptions, and dependencies so that every solution is auditable, maintainable, and transferable.
• Participate in on-call rotation for close cycles: work as part of our on-call team to support month-end and quarter-end activities as needed, which may include after-hours and weekend coverage according to a pre-set plan, ensuring critical Finance workflows run without disruption.

Qualifications

• Strong software engineering skills in Python, SQL, and API development.
• Hands-on experience with AI/ML models, LLMs, or intelligent automation frameworks.
• Comfort with modern AI development tools including agentic frameworks, AI workflow builders, and "vibe-coding" environments (e.g., Claude Code, Cursor, n8n, or similar).
• Working knowledge of data pipelines and integration patterns that move data reliably between systems.
• Understanding of enterprise controls and audit requirements: you know how to build things that pass compliance review, not just demo well.

Skills

• Ability to work directly with Finance stakeholders who aren't engineers, translating their pain into your architecture.
• Track record of breaking down loosely defined business challenges into structured, repeatable technical solutions.
• Strong communication skills: you can explain technical tradeoffs, design choices, and risk in plain language.
• Proven ability to operate in time-sensitive environments where production uptime directly impacts Finance reporting deadlines.
• A reliability mindset: you build with supportability in mind and take ownership when systems need attention.
• Prior experience as a Forward Deployed Engineer, Solutions Engineer, Technical Consultant, or similar embedded-builder role.
• Preferably someone with consulting or big4 experience would be an added value.
• Domain experience in Finance, Audit, or regulated industries.
• Familiarity with Company's technology stack.

Pay Transparency: The typical base pay for this role across the U.S. is: $87.00 - $90.00 /hour. Non-exempt positions are eligible for overtime at a rate of 1.5 times the base hourly rate for all hours worked in excess of 40 in a work week, or as required by state or local law. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, health savings accounts with qualified medical plan enrollment, 10 paid days off, 3 days paid bereavement leave, 401(k) plan participation with employer match, life and disability insurance, commuter benefits, dependent care flexible spending account, accident insurance, critical illness insurance, hospital indemnity insurance, accommodations and reimbursement for work travel, and discretionary performance or recognition bonus. Sick leave and mobile phone reimbursement provided based on state or local law.