Forward Deployed Engineer

SnapLogic as a Forward Deployed Engineer, where you will be a trusted technical advisor to our customers on their AI journey. You will work closely with our Director of AI Center of Excellence and partner with our Enterprise Account teams to guide customers from an ambiguous idea of what's possible to sustained adoption. Your role will involve identifying high-value AI use case opportunities, demonstrating progress through iterative prototyping, and translating complex AI concepts into strategic business imperatives.

Responsibilities

• You will also shape SnapLogic's product roadmap and create playbooks for successful deployment patterns.
• Identificar oportunidades de alto valor en el uso de la inteligencia artificial y construir una comprensión profunda del negocio del cliente.
• Demostrar progreso a través de prototipos iterativos, mostrando valor antes de que se finalice una solución.
• Liderar reuniones de alto nivel, traduciendo conceptos complejos de IA en imperativos comerciales estratégicos.
• Solid understanding of AI/LLM concepts, including prompt engineering, governance, model selection, tool/function design, and cost to performance trade-offs
• Exceptional executive presence, with the gravitas to tactfully challenge assumptions, guide C-level decision-making, and command a room

Requirements

• Strong communication skills, with the ability to move fluidly between deep technical discussions and executive-level business-value conversations
• Genuine excitement for the current shift in AI and want to be hands-on in shaping how enterprises adapt
• Experience in a customer-facing, hands-on advisory role e.g., Solutions Architect, Sales Engineer, Field CTO, or a similar hands-on advisory role working with enterprise customers
• A collaborative mindset with a proven ability to coordinate across Pre-Sales, Post-Sales, Product, and Engineering to deliver outcomes
• An understanding of how AI governance and compliance requirements are evolving, and what that means for how solutions get designed and deployed
• A track record of building working prototypes and solutions under ambiguity, without waiting for fully specified requirements
• Experience with enterprise data and application integration, and an interest in how orchestration and agentic workflows fit into that landscape
• Curiosity and empathy for how businesses actually operate and the people navigating change inside them
• Familiarity with agentic frameworks (e.g., LangChain, LlamaIndex) or the Model Context Protocol (MCP)
• Hands-on programming experience (e.g., Python, JavaScript/Node.js) for rapidly building and iterating on AI prototypes

Preferred

• Prior experience with enterprise integration platforms (iPaaS)
• Experience deploying AI or software solutions on major cloud platforms (AWS, GCP, Azure)