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Forward Deployed Engineer

  • Forward Deployed Engineer job type Posted on: Nov 02, 2026
  • Forward Deployed Engineer experience level Greymatter Innovationz
  • Forward Deployed Engineer employment type Washington, District of Columbia
  • Forward Deployed Engineer employment type Onsite
  • Forward Deployed Engineer salary Full-time

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Job Title :

Forward Deployed Engineer

Job Type :

Full-Time

Job Location :

Washington District of Columbia United States

Remote :

No

Jobcon Logo Job Description :

Job Title: Forward Deployed EngineerExperience: Min 8+ YearsLocation: Washington DC (100% onsite, 5 days a week)Visa: NO Dependencies on VISABudget: Open for nowEmployment Type: FTEDuration: Long termROLE OVERVIEWEmbed with banks, payment providers and fintechs to turn their hardest problems, from fraud and false declines to reconciliation and compliance, into production-ready AI, data and software solutions. You write the code, own the outcome and shape our product.KEY RESPONSIBILITIESOwn delivery end to end: from discovery and success metrics to production go-live.Shape the solution: turn ambiguous client problems into clear architectures, roadmaps and scoped use cases.Build production systems: services, data pipelines and integrations with payment platforms.Deploy AI and agents: fraud and risk models, dispute automation, reconciliation agents.Accelerate with AI: use AI assistants and automation to speed delivery, picking the best tool for the job.Engineer for compliance: PCI DSS, data privacy and auditability by design.Champion the customer: be the client's trusted partner, responsive, accountable and focused on their success.Sell and ideate with leadership: co-create AI strategy with senior executives, pitch solutions and grow the account.TECHNICAL SKILLSSoftware Engineering: Python, Java or Go; APIs and microservices; Kubernetes; AWS/GCP/AzureData Engineering: SQL, Spark/Databricks, Snowflake; streaming pipelines; Workflow AutomationAI / ML: Statistics, DIPP Analytics; Fraud & Risk Modeling (XGBoost, PyTorch); MLOps;Agentic AI: RAG, tool calling, multi-agent orchestration (LangGraph, MCP); evals and guardrailsPayments: Card networks, ISO 8583/20022, ACH, RTP, SEPA, SWIFT; settlement; PCI DSS, KYC/AMLQUALIFICATIONSRequired6+ years shipping production software; 3+ in a single industry across functions / horizontalsHands-on across backend, data and ML/LLM systemsTrack record of client-facing delivery to productionClear communicator from engineers to Leadership StakeholdersBuilds with AI tools daily; quick to adopt new onesPreferredBuilt fraud, disputes or reconciliation platforms at a PSP, bank or networkShipped LLM agents in a regulated environmentPrior Forward Deployed Engineer or Data Science role experienceExperience with payment hubs or core banking (FIS, Fiserv, ACI)

Jobcon Logo Position Details

Posted:

Nov 02, 2026

Reference Number:

10440_4483669684

Employment:

Full-time

City:

Washington

Job Origin:

APPCAST_CPC

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Job Title: Forward Deployed EngineerExperience: Min 8+ YearsLocation: Washington DC (100% onsite, 5 days a week)Visa: NO Dependencies on VISABudget: Open for nowEmployment Type: FTEDuration: Long termROLE OVERVIEWEmbed with banks, payment providers and fintechs to turn their hardest problems, from fraud and false declines to reconciliation and compliance, into production-ready AI, data and software solutions. You write the code, own the outcome and shape our product.KEY RESPONSIBILITIESOwn delivery end to end: from discovery and success metrics to production go-live.Shape the solution: turn ambiguous client problems into clear architectures, roadmaps and scoped use cases.Build production systems: services, data pipelines and integrations with payment platforms.Deploy AI and agents: fraud and risk models, dispute automation, reconciliation agents.Accelerate with AI: use AI assistants and automation to speed delivery, picking the best tool for the job.Engineer for compliance: PCI DSS, data privacy and auditability by design.Champion the customer: be the client's trusted partner, responsive, accountable and focused on their success.Sell and ideate with leadership: co-create AI strategy with senior executives, pitch solutions and grow the account.TECHNICAL SKILLSSoftware Engineering: Python, Java or Go; APIs and microservices; Kubernetes; AWS/GCP/AzureData Engineering: SQL, Spark/Databricks, Snowflake; streaming pipelines; Workflow AutomationAI / ML: Statistics, DIPP Analytics; Fraud & Risk Modeling (XGBoost, PyTorch); MLOps;Agentic AI: RAG, tool calling, multi-agent orchestration (LangGraph, MCP); evals and guardrailsPayments: Card networks, ISO 8583/20022, ACH, RTP, SEPA, SWIFT; settlement; PCI DSS, KYC/AMLQUALIFICATIONSRequired6+ years shipping production software; 3+ in a single industry across functions / horizontalsHands-on across backend, data and ML/LLM systemsTrack record of client-facing delivery to productionClear communicator from engineers to Leadership StakeholdersBuilds with AI tools daily; quick to adopt new onesPreferredBuilt fraud, disputes or reconciliation platforms at a PSP, bank or networkShipped LLM agents in a regulated environmentPrior Forward Deployed Engineer or Data Science role experienceExperience with payment hubs or core banking (FIS, Fiserv, ACI)

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