Forward Deployment Engineer

work Full-time distance On-site  Mountain View payments $140,000 – $155,000 / yr

Cogniify islooking for a Forward Deployment Engineer to build and deploy AI-powered solutions that automate accounting and finance workflows. You will work directly with customers to understand their processes, connect their system sand turn business needs into working solutions.

You will support customers through technical evaluation, proof-of-value development, production deployment and ongoing adoption. The work combines hands-on engineering,enterprise integrations, agentic AI and a practical understanding of accounting processes.

You should be comfortable building with customer data, troubleshooting production issues and explaining technical decisions to both finance leaders and engineering teams.

• Customer Discovery & Scoping: Work with finance and ITteams to understand the chart of accounts, close calendar, subledgers, ERPsystems and process gaps. Identify data-readiness, integration and scope risks early.
• Proof-of-Value Development: Build working solutions using the prospect’s data and systems, with real integrations and measurable output. Help establish realistic deployment scope and effort.
• Technical Evaluation: Assess architecture, security,compliance and integration feasibility. Support RFP responses and technical discussions with IT and accounting teams.
• Business Value& Communication: Explain the technical approach and expected return on investment to CFOs, Controllers and other decision-makers.
• AI Agent Deployment: Design and deploy customer-specific AIagent configurations to reduce manual accounting work, support faster close and strengthen controls.
• Production Troubleshooting: Debug Python, SQL, APIs, webhooksand configuration issues across customer systems. Own escalations involvingintegrations, data flows and automation logic, meet agreed SLAs and provide
  
  Engineering with clear context.
• Customer Adoption& Expansion: Serve as the technical point ofcontact for finance leaders during workflow redesign and adoption. Use demonstrated results to support expansion and renewal discussions.
• Product Feedback& Reusable Assets: Share structured customer feedback with Product and Core Engineering. Turn deployment experience into playbooks, implementation guides and reusable components.

• 3–6 years of relevant experience in forward deployment,solutions engineering, technical consulting or a comparable role involving hands-on customer implementation.
• Strong programming skills in Python, with experience inJava or Kotlin for backend services and integrations.
• Hands-on SQL skills and experience investigating data quality, data flows and production issues.
• Practical experience with agentic AI, including
  
  LangChain or Lang Graph, MCP, multi-agent workflows, RAG and vector stores.
• Experience using OpenAI, Gemini or Anthropic models,including prompt design and tool-use integration.
• Experience building enterprise integrations using RESTAPIs, GraphQL and webhooks.
• Working knowledge of accounting processes, including chart of accounts, journal entries, accruals, reconciliations, AP/AR, revenue and expense recognition, multi-entity close and internal controls.
• Understanding of ERP-to-general-ledger data flows and experience with Net Suite, SAP, Oracle, Microsoft Dynamics or equivalent systems.
• Ability to support technical evaluations and carry solutions through to production deployment.
• Ability to manage several deployments, lead troubleshooting calls and turn unclear needs into requirements understood byfinance and engineering teams.
• Clear communication and confidence working with CFOs,Controllers, accounting leaders and IT stakeholders.
• A demonstrated implementation or technology-delivery track record. Audit experience…