Description

• 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 clients 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 oncall rotation for close cycles: work as part of our oncall 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

What You'll Bring

We care about what you've built, not where you studied. Your experience should demonstrate a track record of shipping production systems that solve real problems. Your resume should tell the story of things you've taken from zero to production: workflows automated, systems scaled, tools adopted. We care about impact and technical quality, not pedigree or brand names.

Technical Foundation

• 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

Business & Communication

• 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

Operational Readiness

• This role requires participation in the oncall rotation during month-end and quarter-end close periods, including after-hours and weekend support as outlined in a pre-set plan
• 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

Preferred (Not Required)

• 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 Clients technology stack

Key Skills

Education

Bachelor's degree