Invisible Technologies

Senior Solutions Architect - Data Labs

Invisible Technologies · London - Hybrid; New York - Hybrid; San Francisco Bay Area - Hybrid

Posted today

or apply directly on Invisible Technologies's site. We never take the application ourselves.

Is this posting real?

This role has been open
0 days
Invisible Technologies's roles stay open a median of 70 days
Reposted
No
Salary listed
No
33% of Invisible Technologies's roles list one
Ghost-job risk at Invisible Technologies
high
15 stale, 0 reposted of 27 open
Hiring momentum
30 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-30

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

About this role

The Senior Solutions Architect at Invisible will work within the Data Lab to design and deliver human data solutions that enhance AI model capabilities. This role involves collaborating with clients to clarify their needs, translating ambiguous requests into executable plans, and ensuring the integrity and scalability of solutions. The architect will also advise on methodologies related to AI training and evaluation, while fostering alignment among various stakeholders throughout project execution.

Our read on this posting3.4out of 5
benefits
2/5
freshness
5/5
career value
5/5
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 Invisible Technologies as an employer.

What you need

  • Deep, demonstrable interest in how frontier AI models are trained, improved, and evaluated.
  • Strong working knowledge of LLM training and evaluation concepts.
  • Exceptional communication skills to explain complex ideas clearly and influence stakeholders.
  • Judgment to challenge assumptions constructively while maintaining client trust.
  • Technical fluency in ML, data systems, software architecture, APIs, and data flows.
  • Commercial judgment and comfort with rough-cut budgeting.

Nice to have

  • A background in computer science, software engineering, machine learning, data science, AI research, technical product, solutions architecture, or a related field.
  • Direct experience with human-data programs, data annotation, model post-training, RLHF, evaluations, benchmarks, red teaming, or research operations.
  • Experience partnering directly with AI researchers, research engineers, or technical program managers.
  • Hands-on ability with tools such as Python, SQL, APIs, notebooks, or lightweight prototyping.
  • Experience designing tools or workflows for specialized users where expert judgment and data quality are central.

What you get

  • Bonus and equity included in all full-time, non-commission offers.
  • Final compensation determined by location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions.
  • Compensation adjusted for candidates outside the U.S. to reflect local market conditions and cost of living.

Worth weighing

  • No specific salary figures listed.
  • Role is not traditional infrastructure architecture or primarily project management, which may require a unique skill set.
  • Expectations for a fast-paced, dynamic environment with significant ambiguity may not suit everyone.

Summarised from Invisible Technologies's posting. Read the full original.

Listed by Invisible Technologies on their greenhouse job board, last confirmed open on 2026-10-30. PitchMeAI is not the employer.

More roles at Invisible Technologies

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