Forward Deployed Engineer
S
SnapLogicAI integration
Listing location: United States; Workplace type: RemoteFull-Time
Salary not disclosed
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Job Details
- Required Skills
- PythonPrompt EngineeringLangChain
Requirements
- Experience in a customer-facing, hands-on advisory role, such as Solutions Architect, Sales Engineer, or Field CTO, working with enterprise customers.
- Ability to build working prototypes and solutions under ambiguity without fully specified requirements.
- Experience with enterprise data and application integration.
- Solid understanding of AI and LLM concepts, including prompt engineering, governance, model selection, tool or function design, and cost-to-performance trade-offs.
- Understanding of evolving AI governance and compliance requirements and their implications for solution design and deployment.
- Strong communication skills for technical discussions and executive-level business-value conversations.
- Ability to coordinate across Pre-Sales, Post-Sales, Product, and Engineering.
- Regular travel to customer sites approximately 50% of the time.
- Preferred: Hands-on programming experience with Python or JavaScript/Node.js.
- Preferred: Familiarity with agentic frameworks such as LangChain or LlamaIndex, or with the Model Context Protocol (MCP).
- Preferred: Experience with enterprise integration platforms (iPaaS).
- Preferred: Experience deploying AI or software solutions on AWS, GCP, or Azure.
Responsibilities
- Partner with customers to understand their businesses and identify high-value AI use cases.
- Demonstrate progress through iterative prototyping.
- Lead briefings that translate AI concepts into business imperatives, ROI, and risk mitigation.
- Support account teams in building business cases and establishing baseline KPIs.
- Align stakeholders, from engineers to C-suite executives, around a shared technical vision.
- Apply AI practices including prompt engineering, LLM selection, tool design, and cost control.
- Feed field learnings to internal teams to inform the product roadmap.
- Identify recurring deployment patterns and share them as team playbooks.
- Explain SnapLogic capabilities in data, application integration, MCP, and agentic workflow orchestration.
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