Senior Forward Deployed Engineer (Finance AI Enablement)

TL;DR

Senior Forward Deployed Engineer (Finance AI Enablement): Building production AI systems embedded into Finance operations with an accent on Finance AI integration, retrieval/knowledge layers, and AI-powered quality controls. Focus on designing end-to-end LLM-based workflows that connect to enterprise finance platforms, operate reliably in SOX/HIPAA-sensitive environments, and continuously improve through evaluation, monitoring, and human-in-the-loop processes.

Location: Remote (USA)

Salary: $142,600 - $178,300 base compensation (California, New York State, Washington State); $136,400 - $170,500 base compensation (Colorado). Eligible for annual cash bonus and equity grants.

Company

hirify.global embeds AI-enabled technology to deliver personalized virtual-first healthcare at scale.

What you will do

• Embed into the Finance organization and partner with Finance leadership to turn ambiguous, high-value Finance problems into production AI systems.
• Design and build a Finance AI integration layer connecting AI systems to enterprise finance platforms, operational data, and internal knowledge sources.
• Build retrieval and knowledge systems over financial documentation, board materials, KPI definitions, investor communications, and forecasting models.
• Develop AI-enabled quality assurance and validation workflows (including human-in-the-loop oversight) to improve consistency, accuracy, and auditability.
• Create operational intelligence and automation capabilities for monitoring, anomaly detection, risk surfacing, and root-cause analysis.
• Implement AI evaluation, regression testing, observability, and feedback loops so Finance teams can independently evaluate and operate AI-assisted workflows over time.

Requirements

• 5+ years of experience building and deploying software, data, automation, or AI-powered applications.
• 2+ years of hands-on experience building LLM-based or AI-enabled systems in production environments.
• Strong experience designing AI workflows including retrieval systems, orchestration patterns, tool usage, evaluation frameworks, and multi-step reasoning systems.
• Strong proficiency in Python and experience building production-quality backend services, APIs, integrations, and automation workflows.
• Experience integrating enterprise systems and operational data into AI-enabled workflows.
• Experience working with regulated or compliance-sensitive environments involving financial/operational data; comfortable incorporating human review, evaluation, and auditability into AI workflows.

Nice to have

• Experience applying AI to Finance, Accounting, FP&A, Procurement, Revenue Operations, or operational business workflows.
• Experience with enterprise platforms such as NetSuite, Adaptive Planning, FloQast, Workday, or enterprise data warehouse environments.
• Experience with AI orchestration frameworks such as LangChain and LangSmith.
• Experience with AWS services (including Bedrock) and modern cloud-native architectures.
• Experience extracting structured insights from unstructured enterprise documents using AI techniques.

Culture & Benefits

• Remote-first work from home culture.
• Flexible Time Off, generous parental leave, and mental health support solutions.
• Health, dental, and vision insurance with above-market employer contributions.
• 401k retirement savings plan and Lifestyle Spending Account (LSA).
• Competitive compensation with annual cash bonus and equity grants.

Hiring process

• Interviews focused on embedded partnership, production AI engineering, and ability to operate in regulated environments.
• Technical evaluation of end-to-end system ownership (discovery → prototyping → shipping → monitoring → iteration) and AI workflow design.
• Discussion of collaboration model with Finance and centralized AI engineering/enablement teams.