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AI Architect - SaaS GTM Tech & Analytics | IC4

$141,000–$231,000San Francisco, CA +3HybridFull-time

Build and operate production AI features and agentic workflows in internal business applications supporting LinkedIn's enterprise go-to-market organization.

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At a glance

Posted base pay

$141K–$231KLevel with the median

Midpoint $186K · median $190K

The work

Builds for teams inside the company

Balance Mostly building

Project stages

  1. Pre-sales (not covered)
  2. Proof of concept
  3. Implementation
  4. Operations
Coding
Writes production code
Builds for
Internal teams
Level
Senior
Role
Technical lead

What they ask for

Experience

  • 5+ yearsprofessional software engineering building and maintaining production applications
  • 5+ yearsbuilding or contributing to enterprise or business applications
  • 1+ yearsGenAI technologies and frameworks
  • 1+ yearsarchitecting, building, and deploying machine learning models and/or automated data solutions in production

Background

  • Software engineering
  • Implementation and data engineering

Do you meet what the posting states?

The posting asks for 1+ years. How many do you have?

The posting reads as a senior role. What level are you at now?

The job is in San Francisco, CA · Sunnyvale, CA · +2 more. Could you work in one of these?

Which of these have you used in production?

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Conditions

Location
San Francisco, CA · Sunnyvale, CA · New York, NY · Chicago, IL
Work arrangement
Hybrid
Remote work restrictions
Hybrid; role based in San Francisco, Sunnyvale, New York City, or Chicago.
Employment type
Full-time
Pay
Pay details

LinkedIn is committed to fair and equitable compensation practices. The pay range for this role is $141,000 to $231,000.

More like this

What you’ll do

  • Set technical architecture and roadmap for GTM applications and data products.
  • Build and deploy AI/ML models and GenAI agent workflows for enterprise sales use cases.
  • Define AI evaluation, monitoring, and safety practices and measure business outcomes.
  • Operate production features for reliability, accuracy, latency, and cost.

What you’ll bring

  • Bachelor's degree in Computer Science, Engineering, or related field, or equivalent practical experience.
  • 5+ years building and maintaining production software applications.
  • 5+ years building or contributing to enterprise or business applications.
  • 1+ years of experience with GenAI technologies and frameworks.

About LinkedIn

Professional network and labor-market platform monetizing hiring, B2B ads, sales intelligence, premium subscriptions, and learning on a 1.3B-member graph.

Acquired · 5000+ people

View posting at LinkedIn

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