Top 25 Vector database aws cloud hybrid knowledge graph Jobs

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NTT DATA —Auburn Hills, MI
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Banyan Software —Seattle, WA
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Data Engineer - Dallas, TX
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Database Engineer/Architect
Ron Turley Associates LLC —Glendale, AZ
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Data Lead- Dallas, TX
Photon —Dallas, TX
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World Wide Technology Holding, LLC —Remote
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AVP, AI Data Engineering, Customer Data Ecosystem
The Hartford —Naperville, IL
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Principal Software Engineer
NRA —Fairfax, VA
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Senior Software Engineer - City Environmental Quality Review
DEPARTMENT OF CITY PLANNING —Manhattan, NY
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Progress —Honolulu, HI
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Architect Data Engineer
Quantiphi —Boston, MA
- Full-time
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Senior Staff AI Data Engineer - Hybrid
The Hartford —Hartford, CT
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AI Research Scientist

Gallup -
Omaha, NE

Apply Now

Job Details

$165,000 - $225,000 a year

Benefits

Health insurance
Dental insurance
401(k)
Employee assistance program
Vision insurance
401(k) matching
Life insurance

Qualifications

Ontology
Data storage
Schema design
Application design
Natural language processing
Semantic Web
Machine learning frameworks
Graph databases
Python
Data extraction

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 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 quality
Strong 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, 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.

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vector database aws cloud hybrid knowledge graph jobs

AI Research Scientist

Data Architect

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