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Forward Deployed Engineer

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Onsite

Forward Deployed Engineer

Opus Technologies

Forward Deployed Engineer

Skills

Google Cloud PlatformSQL QueriesData EngineeringPythonGolangJavaMicroservicesPyTorchSnowflakeDatabricksData AnalysisMachine LearningAIAWSKubernetesNo-code AutomationsComplianceAzure

2 days ago

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Important information


Contract type:

Permanent

Location:

Washington, DC, USA

Work mode:

Onsite

Published on:

22 October 2026

What they need


Designation/Role: Lead / Developer – Forward Deployed Engineer

Experience – 8+ years

Job Description :

  • 8+ years of experience as a Forward Deployed Engineer delivering production software, including 3+ years within a single industry across multiple functions or horizontal domains.
  • Own end-to-end solution delivery, from customer discovery and success metrics to production deployment.
  • Translate complex business challenges into technical architectures, implementation roadmaps, and scalable solutions.
  • Build production-grade backend services, APIs, microservices, data pipelines, and payment integrations.
  • Develop and deploy AI/ML solutions for fraud detection, risk modeling, dispute automation, and reconciliation.
  • Build LLM-powered applications and AI agents using RAG, tool calling, and multi-agent orchestration.
  • Leverage AI coding assistants and automation tools to accelerate engineering productivity.
  • Design secure, compliant, and auditable systems aligned with PCI DSS and data privacy requirements.
  • Collaborate with customer engineering teams, business stakeholders, and senior executives to drive measurable outcomes.
  • Partner with leadership to shape AI strategies, present technical solutions, identify opportunities, and support account growth.

Technical Skills

  • Programming: Python, Java, or Go; APIs, microservices, and distributed systems.
  • Cloud & Infrastructure: Kubernetes, AWS, GCP, or Azure.
  • Data Engineering: SQL, Spark, Databricks, Snowflake, streaming pipelines, and workflow automation.
  • AI/ML: Statistical modeling, fraud and risk analytics, XGBoost, PyTorch, and MLOps.
  • Agentic AI: RAG, LLM applications, tool calling, LangGraph, MCP, AI evaluations, and guardrails.
  • Payments & Compliance: Card networks, ISO 8583/20022, ACH, RTP, SEPA, SWIFT, settlement, PCI DSS, KYC, and AML.

Qualifications:

  • A bachelor’s or master’s degree in computer science, Engineering, or a related discipline.
  • Ability to communicate effectively across multiple audiences, including firm-wide business units, senior leaders, associates and clients.
  • Exceptional interpersonal skills, including teamwork, facilitation, and negotiation.
  • Strong planning and organizational skills

Opus Technologies is a trusted engineering partner to payment providers, banks, and fintechs navigating change in a real-time, digital-first world. We solve for business value—accelerating go-to-market, unlocking future readiness, and powering transformation at scale.

Our promise is simple: Business Value Acceleration. Realization. Maximization.

We deliver on this promise through the Opus trifecta—a domain-native engineering skillset, a value-creation mindset, and a toolset that drives business agility. From MVP (Minimum Viable Product) to MPT (Maximum Possible Transformation), Opus turns engineering into a business advantage.

Please visit our website for more information.

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