# Forward Deployed Engineer

**Company:** [SnapLogic](https://hotfix.jobs/companies/snaplogic)
**Location:** Unspecified
**Role:** Solutions Architecture
**Salary:** $150k – $200k/yr
**Skills:** Python, JavaScript, Node.js, LangChain, Llamaindex, Model Context Protocol, Ipaas, AWS, GCP, Azure, Prompt Engineering, LLMs, Ai Governance, Application Integration, Data Integration
**Posted:** 2026-09-02

> Advises enterprise customers on AI adoption by identifying use cases, building prototypes, proving business value, and guiding deployment strategy. Requires hands-on customer advisory experience, strong executive communication, enterprise integration knowledge, and solid AI/LLM expertise.

## Job Description

## Responsibilities
- Partner with enterprise customers to identify high-value AI use cases and pilot opportunities.
- Build iterative prototypes to demonstrate measurable value against baseline KPIs.
- Lead executive briefings and translate agentic architectures and AI concepts into business value, ROI, and risk mitigation.
- Support account teams in developing business cases and driving sustained adoption.
- Align engineers, business stakeholders, and executives around a shared technical vision.
- Apply best practices in prompt engineering, LLM selection, tool design, AI governance, and cost control.
- Feed customer learnings into product roadmap development and create repeatable deployment playbooks.
- Maintain current knowledge of AI developments and evangelize data integration, application integration, MCP, and agentic workflow orchestration.

## Requirements
- Experience in a customer-facing, hands-on advisory role such as Solutions Architect, Sales Engineer, Field CTO, or equivalent, serving enterprise customers.
- Experience building working prototypes and solutions in ambiguous environments.
- Experience with enterprise data and application integration.
- Understanding of AI/LLM concepts, including prompt engineering, governance, model selection, tool/function design, and cost-performance trade-offs.
- Understanding of evolving AI governance and compliance requirements.
- Strong executive presence and communication skills, with the ability to engage both technical and C-level audiences.
- Ability to coordinate across pre-sales, post-sales, product, and engineering teams.

## Preferred Qualifications
- Hands-on programming experience with Python or JavaScript/Node.js.
- Familiarity with LangChain, LlamaIndex, or the Model Context Protocol (MCP).
- Experience with enterprise integration platforms (iPaaS).
- Experience deploying AI or software solutions on AWS, Google Cloud, or Azure.

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