Forward Deployment Engineer

Job Title: Forward Deployment Engineer Location: Remote – Latin America Preferred Type of Contract: Full-Time | Remote Salary Range: Market Rates Language Requirements: English – Professional working proficiency Our client is seeking a skilled Forward Deployment Engineer with strong software integration and customer-facing technical experience to join their growing team. You will play a key role in translating enterprise customer needs into production-ready integrations, workflow automations, and AI-driven solutions. Your work will directly impact successful deployments, customer adoption, and measurable business outcomes. Key Responsibilities Lead structured discovery workshops with client stakeholders to understand workflows, pain points, technical requirements, and desired business outcomes. Translate business requirements into technical workflows, integrations, automations, and scalable solution designs. Configure, test, troubleshoot, and deploy solutions while supporting customers through successful go-live and adoption. Build and customize workflow automations using APIs, scripts, low-code platforms, and integration technologies. Diagnose technical issues involving integrations, data flows, APIs, authentication, and automation workflows, and drive blockers through resolution. Serve as the technical point of contact during onboarding and implementation while maintaining strong customer relationships. Share deployment insights and customer feedback with product and engineering teams to influence product improvements and roadmap priorities. Must-Have Qualifications Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience delivering production integrations. 4–8 years of experience in a customer-facing technical role such as Forward Deployed Engineer, Solutions Engineer, Integration Engineer, Implementation Engineer, or similar. Strong programming experience in Python, Java, Go, or a comparable language, with the ability to build and debug production integration logic. Hands-on experience with SaaS platforms, REST/SOAP APIs, webhooks, and authentication methods such as OAuth, API keys, and basic SSO. Experience with workflow automation platforms, CI/CD processes, and basic observability or monitoring tools. Strong SQL skills and experience with at least one BI platform such as Looker, Tableau, or Superset for data validation and demonstrating business impact. Excellent communication and problem-solving skills, with the ability to work independently in ambiguous environments, lead technical discussions, and explain complex concepts to non-technical stakeholders. Preferred Qualifications Experience working in consulting, early-stage startup, or other environments that require a high degree of ownership and adaptability. Hands-on experience with LLM or agentic frameworks such as LangChain, LangGraph, CrewAI, or similar technologies. Experience developing RAG pipelines, prompt and evaluation strategies, AI observability, or AI guardrails. Previous experience working directly on-site or embedded with enterprise clients during implementation. Experience designing AI-driven workflows or applying AI technologies to data integration and business automation challenges. Strong technical documentation skills and experience translating customer feedback into actionable product requirements.