What is the salary for MLOps Engineer — Platform AI at ServiceNow?

Listed range: $145k – $195k / year (Full-time). Packages often include PTO, remote options, and equity depending on the company.

Where is the MLOps Engineer — Platform AI role based?

Bellevue, WA, Seattle (Washington). Work mode: Hybrid.

How do I apply to ServiceNow?

Create a free Ganloss candidate account, then apply in one click. Job reference: EXP-2026-0018. Process: Recruiter screen → Technical interview → Team conversation → Offer.

Is ServiceNow hiring other AI roles?

ServiceNow (Enterprise GenAI) hires across LLM, ML, data, and AI product. See all openings on the Ganloss company page.

MLOps Engineer — Platform AI

ServiceNow· Bellevue, WA· Ref. EXP-2026-0018 4.2 (4,600 reviews)

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Salary: $145k – $195k / year
Type: Full-time
Location: Bellevue, WA · Seattle (Washington) · Hybrid
Valid through: 11/25/2026

Additional details

Posted: Posted today
Applications: 26; on Ganloss
Experience: Mid · 3+ years
Education: BS/MS CS, ML, or equivalent experience
Region: Washington
Team: ServiceNow — AI team
Company size: 20000+
Founded: 2004

Job description

ServiceNow is hiring a MLOps Engineer — Platform AI (Full-time) hybrid. This mlops engineer role is part of the AI hiring market in Seattle (Washington). ServiceNow MLOps engineer for model CI/CD and GPU serving — Bellevue / Seattle hybrid enterprise AI platform. Listed compensation: $145k – $195k / year. Stack: MLOps, ServiceNow, Kubernetes, Python, Seattle.

MLOps Engineer profiles are in high demand in Seattle: Seattle is a major cloud and AI hub. Amazon, Microsoft, and a deep startup ecosystem recruit ML engineers, applied scientists, and platform engineers.…

The team

ServiceNow — AI team

Responsibilities

Ship production AI features with clear quality, latency, and safety bars
Partner with product, design, and infra on roadmap priorities
Document evals, monitoring, and responsible AI practices

Requirements

3+ years shipping ML, LLM, or data systems in production (or strong internship + portfolio)
Strong Python or TypeScript and clear written communication
Comfort with evals, observability, and cross-functional US teams

Tech stack

MLOpsServiceNowKubernetesPythonSeattle

Benefits

Health, dental, vision

401(k) match

Equity

Learning budget

Flexible PTO

Hiring process

1Recruiter screen
2Technical interview
3Team conversation
4Offer

Experience: Mid · 3+ years · Education: BS/MS CS, ML, or equivalent experience

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FAQ — MLOps Engineer — Platform AI

What is the salary for MLOps Engineer — Platform AI at ServiceNow?: Listed range: $145k – $195k / year (Full-time). Packages often include PTO, remote options, and equity depending on the company.
Where is the MLOps Engineer — Platform AI role based?: Bellevue, WA, Seattle (Washington). Work mode: Hybrid.
How do I apply to ServiceNow?: Create a free Ganloss candidate account, then apply in one click. Job reference: EXP-2026-0018. Process: Recruiter screen → Technical interview → Team conversation → Offer.
Is ServiceNow hiring other AI roles?: ServiceNow (Enterprise GenAI) hires across LLM, ML, data, and AI product. See all openings on the Ganloss company page.

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