Forward Deployment Engineer

Ovii's Interpretation of the Role

The Forward Deployment Engineer bridges product teams and enterprise clients, designing, building, and deploying AI‑driven workflow automations and SaaS integrations. You will translate client needs into production‑ready solutions, ensure smooth go‑live, and act as the technical advocate for long‑term customer success.

Role Snapshot

• Bridge product and enterprise client teams
• Design and deploy AI‑driven workflow automations
• Write production‑grade integration code
• Lead client discovery workshops
• Own end‑to‑end solution delivery
• Provide technical advocacy post‑deployment
• Feed deployment insights back to product

Must-Have Requirements

• Python/Java/Go programming
• REST/SOAP API integration
• SQL
• BI tool usage (Looker, Tableau, Superset)
• Workflow automation platforms
• CI/CD pipelines
• customer‑facing technical role
• production integration development
• Bachelor's degree in Computer Science, Engineering, or related field or equivalent experience

Nice-to-Have Signals

• LLM/agentic frameworks (LangChain, LangGraph, CrewAI)
• RAG pipelines, prompt/eval design, AI observability
• Consulting or early‑stage startup background
• MBA
• LLM/agentic framework experience
• on‑site implementation with enterprise clients

Work Setup

• Location: Colombia, Colombia
• Work mode: REMOTE
• Remote scope: COUNTRY_RESTRICTED
• Remote countries: Colombia
• Timezone: U.S. CST shift (8:00 AM – 5:00 PM CST)
• Employment type: Full-Time
• Shift: U.S. CST shift (8:00 AM – 5:00 PM CST)

Eligibility Gates

• Work authorization: Must be authorized to work in Colombia
• Visa sponsorship: no

Not Specified in JD

• Salary range
• Visa sponsorship
• Equity
• Benefits
• Coding test

What You'll Likely Work On

• Conduct structured discovery workshops to capture client workflows and pain points
• Translate business requirements into technical workflows, automations, and integrations
• Configure, test, and deploy solutions, ensuring seamless go‑live and adoption
• Build custom automations using APIs, scripts, or low‑code platforms
• Diagnose and resolve integration issues, iterating based on client feedback
• Serve as the technical expert during onboarding and ongoing customer success
• Provide deployment feedback to product and engineering teams to shape roadmap

Good Fit If You Have

• Excellent communication for workshops and stakeholder alignment
• Comfort operating independently in ambiguous, loosely‑scoped situations
• Proven experience delivering SaaS integrations for enterprise clients
• Passion for AI/LLM technologies and workflow automation