Forward Deployed Engineer, Applied AI

Snowplow

. Map workflows by observing how business functions operate, including inputs, process steps, approvals, and quality standards .

Posted 11/9/2026full-timeBoston • Massachusetts • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building agentic workflows, utilizing programming languages such as Python, TypeScript, or Go. Capable of evaluating and transforming business processes into AI-driven solutions while ensuring clear communication with stakeholders.

Highest-signal resume keywords

Python ProgrammingTypeScript ProgrammingGo ProgrammingBuilding LLMs in ProductionWorkflow Automation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Workflow MappingSoftware ShippingAgentic Workflow DesignQuality Standards EvaluationEdge-Case HandlingExpert Judgment EncodingPost-Handoff ImprovementsDocumentation of Workflow PatternsTraining FunctionsUnderstanding Undocumented Processes

Soft Skills

Self-DirectionComfort with AmbiguityClear CommunicationCollaboration with Non-Engineers

Tools & Technologies

Snowplow FrameworkAI AgentsAutomation Tools

Industry Keywords

Solutions EngineeringEnd-to-End Process TransformationInternal ToolsConsulting Engineering

Tech Stack

Tools & technologies

PythonTypeScriptGo

About the role

Key responsibilities & impact

Map workflows by observing how business functions operate, including inputs, process steps, approvals, and quality standards
Evaluate whether workflows should be moved onto AI agents, using evidence from workflow maps
Design and build agentic workflows on Snowplow's shared factory framework
Define approval gates, autonomous actions, human review points, and agent-run records
Make business knowledge, systems of record, and quality standards explicit for agent use
Improve prototypes through reliability work, edge-case handling, evaluation, and domain-expert tuning
Encode expert judgment into durable checks
Train functions to run and evolve the delivered workflows, then hand them off
Coordinate post-handoff improvements with embedded and platform engineers
Document the workflow transformation pattern and contribute reference implementations to the shared framework
Embed with one business function at a time and report to the Senior Director of Applied AI

Requirements

What you’ll need

Fluent in at least one of Python, TypeScript, or Go, with willingness to pick up the others as needed
Experience shipping real software in unfamiliar codebases, datasets, or business systems
Experience building LLMs in production, including agents or agentic workflows, prompts, tools, evaluation, and failure-mode handling
An AI-native workflow, automation, or agent that was built and is still used; willingness to demonstrate it during the interview process
Ability to understand undocumented processes by working with non-engineers
Self-direction and comfort with ambiguity
Instinct to hand off capabilities so teams can operate them independently
Clear communication with senior stakeholders
Experience in a forward deployed, solutions engineering, internal tools, or consulting engineering role, or end-to-end process transformation inside a company
Willingness to use AI during the application process

Benefits

Comp & perks

Meaningful equity stake
Competitive Base Salary
Flexible working
Generous PTO
Medical, Dental & Vision Insurance
401k
MacBook and home office equipment allowance
Enhanced Family leave