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.