AI Research Scientist

Gallup; Omaha (NE); On-site; USD 165,000 - 225,000; Full time

Benefits offered by this job

On-site in Omaha

Competitive salary

Job summary

Gallup Labs is seeking an AI research scientist to design and build knowledge infrastructures powering Gallup’s AI initiatives. You will shape systems built on rich behavioral data, translating research questions into scalable, production-ready architectures.

You will lead the design of retrieval and knowledge-graph pipelines, evaluate reasoning quality, and collaborate with researchers and product teams to integrate knowledge systems into broader AI workflows.

Qualifications

• Bachelor’s degree in computer science, data science, applied mathematics, cognitive science or related field, plus two years of experience, or an advanced degree in ML, NLP, information science or computational social science
• Experience building applied AI systems, knowledge architectures or advanced data systems in industry, research or comparable settings
• Strong hands-on experience with knowledge graphs, including ontology and schema design, extraction pipelines, graph storage and traversal
• Experience using LLMs for structured extraction of entities, relations and attributes
• Experience designing advanced retrieval systems and evaluating reasoning and extraction quality; strong Python skills and fluency with LangChain, LangGraph or LlamaIndex
• Commitment to working on-site at Gallup’s Omaha office at least three days per week

Responsibilities

• 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
• 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

Skills

Entrepreneurial mindset

Systems thinking

Architectural creativity

Education

Bachelor’s degree in computer science

Advanced degree in ML / NLP / information science

Tools

Python

LangChain/LangGraph/LlamaIndex

FastAPI

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 meetat the intersection of research and technology. We work on problems thatdon'thave 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 measurable value.
• Systems thinking: You instinctively see how technical components interact, anticipate failure modes and design and test architectures that are resilient and adaptable.
• Architectural creativity: You evaluate trade-offs across graph, vector and hybrid systems and are energized by inventing new combinations when standard approaches fall short.

What You Need

Required

• Bachelor’s degree in computer science, data science, applied mathematics, cognitive science or a related quantitative field, plus two years of experience, or an advanced degree in ML, NLP, information science or computational social science
• Experience building applied AI systems, knowledge architectures or advanced data systems in industry, research or comparable settings
• Strong hands‑on experience with knowledge graphs, including ontology and schema design, extraction pipelines, graph storage and traversal
• Experience using LLMs for structured extraction of entities, relations and attributes
• Experience designing advanced retrieval systems and evaluating reasoning and extraction qualityStrong Python skills and fluency with modern AI development stacks such as LangChain, LangGraph or LlamaIndex
• A commitment to working on‑site at Gallup’s Omaha office at least three days per week

Preferred

• Experience turning research ideas into production‑ready AI systems
• Hands‑on experience with agentic workflows, including multi‑step reasoning, tool use and planner/executor patterns
• Ability to build lightweight service layers and interfaces, such as FastAPI, to inspect and evaluate extraction and retrieval quality
• Advanced experience with entity resolution, graph learning or hybrid database architectures that combine graph, vector and relational systems
• Experience with major cloud AI ecosystems such as Azure OpenAI, AWS Bedrock, GCP Vertex or comparable self‑hosted solutions

About Gallup

At Gallup, we change the world, one client at a time, through extraordinary analytics and advice on everything important facing humankind. Learn more about our work and life at Gallup.

Gallup offers a robust benefits package that includes medical, dental, vision, life and other insurance options; a fully vested 401(k) retirement savings plan with company matching; an employee stock ownership program; family‑building benefits; an employee assistance program; and various reimbursements and activities that enhance our associates’ wellbeing. We also offer an estimated annual salary range of $165,000-$225,000 for this role. Salaries are based on a variety of factors, including an individual’s education, experience and skills.

Gallup is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender identity, or any other legally protected basis, in accordance with applicable law.

To review Gallup’s Privacy Statement, please click this link: https://www.gallup.com/privacy. This privacy policy is meant to help you understand what information we collect, why we collect it, and how you can update, manage and delete your information. Your application and the information you provide will be processed and stored in the United States.