Principal AI Platform Engineer, Applied AI

Snowplow

. Lead the expansion of Firn, Snowplow’s company-wide data and AI platform .

Posted 10/30/2026full-timeLondon • United KingdomLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and managing production-grade platforms, particularly in AI and data environments. Proficient in Python, TypeScript, SQL, and cloud infrastructure, with a strong focus on version control, CI/CD, and operational tooling.

Highest-signal resume keywords

Production Software ExperiencePython or TypeScriptBuilding Production LLM SystemsFluency with SnowflakeSetting Technical Direction

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonTypeScriptSQLCI/CDCloud InfrastructureProduction LLM SystemsVersion ControlData ContractsAlertingCost Tracking

Soft Skills

Communication with Non-Engineering CustomersAbility to Explain Technical Failures

Tools & Technologies

SnowflakeDbtMCP ServersGTM ServicesFactory Framework

Industry Keywords

AI PlatformData PipelinesInternal Customer EngagementEvaluation InfrastructureOperational Tool Logic

Tech Stack

Tools & technologies

CloudPythonSnowflakeSQLTypeScript

About the role

Key responsibilities & impact

Lead the expansion of Firn, Snowplow’s company-wide data and AI platform
Design and build the GTM intelligence engine that determines who to engage, how, and learns from outcomes
Bring existing GTM services onto Firn’s unified platform foundation
Build trusted, inspectable agents and tools using the factory framework, review steps, and evaluations
Own the MCP gateway, LLM gateway, tracing, factory framework, ledger, and broader platform architecture
Establish production-grade version control, CI, alerting, recovery, cost visibility, documentation, and handover
Move operational-tool logic into versioned, testable platform code
Build learning loops that record platform actions and outcomes
Own evaluation and tracing infrastructure for embedded and forward-deployed engineers
Set the Applied AI team’s engineering bar and own the platform roadmap
Work with data engineers and internal customers across Marketing, Sales, Account Management, and Partnerships
Report to the Senior Director of Applied AI and remain the owner of GTM services after handover

Requirements

What you’ll need

Years of production software experience designing, shipping, and running systems other teams depend on
Experience with Python or TypeScript, SQL, CI/CD, and cloud infrastructure
Experience building production LLM systems with agents, tools, MCP servers, gateways, tracing, and evaluation
Ability to explain LLM system production failures and resulting changes
Experience building platforms used by internal teams or customers through designed interfaces
Fluency with Snowflake or an equivalent warehouse, dbt, data contracts, and pipelines moving warehouse data into SaaS tools and back
Experience with alerting, recovery, runbooks, and cost tracking
Ability to determine which decisions should be deterministic code, agent-based, or handled by a person
An AI-native workflow, agent, or tool that was built and is still used; willingness to demonstrate it during interviews
Comfort working with non-engineering internal customers
Experience setting technical direction for a platform followed by other engineers
Willingness to use own AI setup in a working-session interview and discuss a current system design

Benefits

Comp & perks

Meaningful equity stake
Competitive Base Salary
Flexible working
Generous PTO
Private Medical Insurance
Company Pension
MacBook and home office equipment allowance
Enhanced Family leave