Invisible Technologies
Senior Solutions Architect - Data Labs
London - Hybrid; New York - Hybrid; San Francisco Bay Area - Hybrid · Senior · Full-time
Sponsorship not specifiedDetected 27 days ago
PythonData StructuresSQLAWSMachine LearningData ScienceLLMsProject ManagementBudgetingSupply ChainRecruitingResearchLeadershipCommunicationCollaborationWritingAdaptability
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odds of building a lasting career here
37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
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About the role
- Our work spans the full frontier of AI training and evaluation-from supervised fine-tuning and preference data to benchmarks, red teaming, multimodal data, coding tasks, and agent environments.
- Solutions architects are at the center of this work, working with clients to define the problem and translating open-ended model development problems into scalable programs with sound methodology.
- We are looking for a Senior Solutions Architect to bring technical depth, sharp commercial judgment, and a strong command of the rapidly evolving AI training and evaluation landscape.
Responsibilities
- Own the solution design of new human-data projects and pilots, working with Project Leads from early discovery and scoping through the transition into execution.
- For technical POCs in particular, you may take the lead in the relationship alongside the Project Lead.
- Shape task design, annotation and evaluation workflows, quality and validation strategies, data structures, and the trade-offs between research value, feasibility, speed, scale, and expert experience.
- Bring commercial judgment to early scoping, building rough-cut estimates of effort, expert supply, timeline, and cost so teams can test feasibility and shape viable proposals.
- Partner with Engineering to define the expert-facing interfaces and technical architecture that collections require, including workflows, APIs, data exchange patterns, synthetic testing, and validation mechanisms.
- Build alignment across clients, account leadership, Project Leads, Engineering, expert operations, and other internal teams.
- Develop and share reusable mental models, patterns, and emerging best practices that raise the technical fluency and solutioning quality of the wider organization.
Nice to have
- Equivalent knowledge gained through independent work or other professional experience is equally welcome.
- Direct experience with human-data programs, data annotation, model post-training, RLHF, RLVR, 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.
- You will not be the primary builder, but being able to inspect, test, or demonstrate an idea can make you more effective.
- Experience designing tools or workflows for specialized users, particularly where expert judgment and data quality are central to the outcome.
- You can find more information about our geographic pay tiers here.
- For candidates outside the U.S., compensation is adjusted to reflect local market conditions and cost of living.
Skills
- About Invisible
- Invisible Technologies makes AI work.
- Our platform cleans, labels, and structures company data so it is ready for AI.
Compensation
- For candidates outside the U.S., compensation is adjusted to reflect local market conditions and cost of living.
Company info
- In September 2025, we raised $100M in growth capital to accelerate our mission of making AI actually work in the enterprise and to advance our platform technology.
- What It's Like to Work at Invisible: At Invisible, we're not just redefining work-we're reinventing it.
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This listing is sourced directly from Invisible Technologies's careers page and normalized into a canonical job model.