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Senior Solutions Architect - Data Labs
AIHybrid — London, New York, San Francisco Bay Area
Published on 2026-09-25
These details were extracted automatically from the original listing. They may not be complete or fully up to date — it's worth checking the original job post.
About this role
The Senior Solutions Architect will work with AI companies to design and deliver human data solutions that enhance model capabilities and measure performance. The role requires technical depth and commercial judgment to define and execute projects within the AI training and evaluation landscape.
About the company
Invisible is a technology company that specializes in automating business processes and providing operational support through advanced AI and workforce solutions. They serve enterprises by helping streamline workflows and improve efficiency across various functions.
The team
Data Lab
Stack
Machine LearningLLM trainingAPIs
What you'll do
- Design new human-data projects and pilots
- Interpret client requests to define clear approaches
- Advise on best practices for model evaluation
- Shape task design and validation strategies
- Define expert profiles for project requirements
- Establish rough-cut estimates for project feasibility
- Collaborate with engineering on technical architecture
- Stay up-to-date on AI training best practices
What we're looking for
- Strong knowledge of LLM training concepts
- Exceptional communication skills
- Ability to synthesize complex information
- Experience working with diverse stakeholders
- Commercial judgment and budgeting skills
- Technical fluency in ML and data systems
- High ownership and adaptability
- Judgment to challenge assumptions constructively
Nice to have
- Background in computer science or related field
- Experience with human-data programs
- Direct experience with AI researchers
- Hands-on with Python and SQL
- Designing workflows for specialized users
- Evidence of engagement with AI through projects
- Independent work in machine learning
- Technical writing experience
