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Scale AI

Solutions Engineer, Enterprise

Scale AI · San Francisco, CA; New York, NY

Posted about 2 months ago

or apply directly on Scale AI's site. We never take the application ourselves.

Is this posting real?

This role has been open
66 days
Scale AI's roles stay open a median of 66 days
Reposted
No
Salary listed
No
2% of Scale AI's roles list one
Ghost-job risk at Scale AI
high
192 stale, 5 reposted of 217 open
Hiring momentum
270 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-08

Measured from postings appearing on and disappearing from Scale AI's own greenhouse board since 2026-08-03. Full hiring picture for Scale AI.

About this role

As a Solutions Architect at Scale, you will lead the technical execution of enterprise AI systems from discovery through deal closure and post-sale support. Your responsibilities include conducting technical discovery, evaluating feasibility, building solution prototypes, and engaging with customer engineering teams. You will collaborate with Account Executives, Project Managers, and Tech Leads to ensure successful implementation and account growth.

Our read on this posting2.6out of 5
benefits
3/5
freshness
1/5
career value
4/5
role clarity
5/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Scale AI as an employer.

What you need

  • Engineering background with customer-facing experience in solutions architecture, sales engineering, forward-deployed engineering, or technical consulting
  • Hands-on proficiency in Python or equivalent language
  • Experience managing technical discovery and evaluation for enterprise sales cycles, including security reviews and technical qualification
  • Practical knowledge of Generative AI and LLM architecture in production environments
  • Ability to design evaluation methodologies and metrics for complex technical requirements
  • Effective communication skills across both technical staff and executive stakeholders

Nice to have

  • Experience with domain compliance requirements: model risk management and fair lending (FSI), HIPAA and clinical safety (HCLS), or high-volume quality measurement (Consumer)
  • Background in forward-deployed engineering or shipping production ML systems
  • Experience creating large-scale evaluation datasets alongside domain experts
  • Experience building or scaling a solutions engineering practice or playbook

What you get

  • Compensation packages include base salary, equity, and benefits
  • Comprehensive health, dental and vision coverage
  • Retirement benefits
  • Learning and development stipend
  • Generous PTO
  • Potential commuter stipend

Worth weighing

  • No specific salary listed for the role, but a range is provided for transparency
  • Role involves significant customer interaction and requires both technical and communication skills
  • Requires knowledge of compliance in specific domains which may limit candidate pool

Summarised from Scale AI's posting. Read the full original.

Listed by Scale AI on their greenhouse job board, last confirmed open on 2026-10-08. PitchMeAI is not the employer.

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