Gallup
Technology
AIResearchScientist
Neural analysis suggests this role is
optimal for Mid+ candidates.
“AI Research Scientist at Gallup. Skills: AI systems, Knowledge architectures, Retrieval systems, LLM extraction. Design applied AI systems. Prototype applied AI systems”
What You'll Achieve.
Create measurable value; Design resilient architectures; Design adaptable architectures; Strengthen AI capabilities
Industry & Context.
Systems thinking; Anticipate failure modes; Evaluate trade-offs
Work on-site 3 days/week
What They're Looking For.
Must Have
Bachelor's degree, Two years of experience, Experience building applied AI systems, Hands-on experience with knowledge graphs, Experience using LLMs for extraction, Experience designing advanced retrieval systems, Python skills, Fluency with modern AI stacks
Nice to Have
Advanced degree preferred, Experience turning research ideas into production, Hands-on experience with agentic workflows, Ability to build lightweight service layers, Advanced experience with entity resolution, Advanced experience with graph learning, Advanced experience with hybrid database architectures, Experience with major cloud AI ecosystems
What You'll Do.
Design applied AI systems
Prototype applied AI systems
Evaluate applied AI systems
Build knowledge architectures
Combine knowledge graphs
Combine vector databases
Combine RAG pipelines
Combine hybrid retrieval
Own core retrieval infrastructure
Design LLM-based extraction
Design entity resolution
Design query patterns
Translate research questions
Create evaluation frameworks
Partner with researchers
Partner with product leaders
Partner with technologists
Integrate knowledge systems
Communicate architectural decisions
Stay current on AI research
How You'll Work.
Team & Collaboration
Partner with researchers; Partner with product leaders; Partner with technologists
Communication Scope
Communicate architectural decisions
Full Job Description
Design and build the knowledge infrastructure that powers Gallup’s most ambitious AI initiatives. As an AI research scientist at Gallup, you will shape AI systems built on some of the richest behavioral datasets in the world. If you bring the rigor of a researcher and the instincts of a systems thinker, and you want to design what doesn't yet exist, you'll thrive in Gallup Labs. About Gallup Labs Gallup Labs is the internal research and incubation engine at Gallup, where the world's most important questions about human behavior meet at the intersection of research and technology. We work on problems that don't have clear road maps: building novel knowledge architectures from decades of behavioral data, designing AI systems that surface talent signals and prototyping the next generation of human-centered intelligence tools for a variety of markets. What You’ll Do Design, prototype and evaluate applied AI systems for knowledge representation, retrieval and agentic reasoning Build knowledge architectures that combine knowledge graphs, vector databases, RAG pipelines and hybrid retrieval approaches for behavioral and scientific data Own core retrieval infrastructure, including ontology design, schema design, embeddings, indexing, LLM-based extraction, entity resolution, graph storage and query patterns Translate ambiguous research questions into clear technical approaches, experiments and working systems Create evaluation frameworks for reasoning quality, retrieval accuracy, scalability and real-world impact Partner with researchers, product leaders and technologists to integrate knowledge systems into larger AI workflows and communicate architectural decisions clearly Stay current on applied AI research and identify techniques that can strengthen Gallup’s AI capabilities What Makes You Stand Out Entrepreneurial mindset: You are relentlessly curious about what could exist, spot unmet needs and take ownership of turning technical possibility into systems that create meas
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