Job Specifications
Build the intelligence layer that powers Gallup’s next era.
In this role, you’ll serve as the foundational technical architect, partnering directly with our Head of AI to design, build and evolve the infrastructure that powers Gallup’s next generation of AI systems.
You’ll co-develop architecture from AI-designed starting points, challenge what won’t hold up and build systems well enough that other teams can take them forward. This team builds first versions of ambitious systems, validates them with real users and real data, and hands off what works for production scale. You’ll solve high-impact problems, ship production-quality software quickly and raise the bar across security, reliability and measurement.
If you’re excited to shape the technical foundation of AI at a global organization where AI is how the team builds, not just what it builds, apply today.
What You’ll Do
Build AI-powered systems end-to-end, including multi-agent architectures, data integrations, front-end interfaces and deployment pipelines on top of Gallup’s extensive proprietary organizational science data
Design and implement first versions of multi-agent systems, behavioral telemetry and data integrations that connect AI tools to Gallup’s enterprise infrastructure
Integrate frontier AI models into production applications, selecting the right model for the job and managing real-world trade-offs across cost, latency and quality
Connect systems to enterprise infrastructure (SSO, CRM, data lake) and establish lightweight engineering standards that enable speed, including CI/CD, observability and secure defaults
Evaluate emerging AI tools hands-on and provide technical recommendations grounded in performance data
Expand your influence into broader technical leadership as the team grows
What Makes You Stand Out
Startup drive: You are energized by building from zero — defining architecture, setting standards and moving quickly to advance priorities. You thrive in fast-moving, high-impact environments where experimentation and iteration fuel progress.
AI conviction: You are genuinely energized by the rapid evolution of AI. You experiment constantly, stay current with frontier models and frameworks, and think deeply about how AI transforms products and workflows.
Collaborative mindset: You thrive in real-time design conversations, communicate trade-offs with clarity and simplicity, and value working through complex challenges alongside others with differing viewpoints.
Strategic ownership: You shape technical direction, not just implementation. You challenge assumptions, propose alternatives and influence execution when you see a better path.
Systems thinking: You see beyond individual features to how data flows between agents, how telemetry informs decisions and how today’s prototype becomes tomorrow’s platform.
Speed and discipline: You ship quickly without compromising durability. You know when to move fast and when to engineer for the long term, and you can articulate the difference.
What You Need
Bachelor’s degree in computer science or a related field, or equivalent experience, required
At least five years of professional experience building production software with strong full-stack depth required
At least three years of professional experience leading architecture conversations and shaping technical strategy for complex systems required
Deep hands-on experience building AI-powered systems (LLMs, embeddings, RAG, agent frameworks) required; demonstrated capability and technical depth matter more than time in seat or experience with specific tools
Experience designing multi-agent or distributed AI systems with orchestration, state management and agent communication patterns required
Experience with scalable API design, cloud-native architecture (AWS) and practical database and data modeling required
Solid front-end experience (React, TypeScript) for building interactive prototypes and experimental UIs required
Understanding of AI model economics, including token costs, latency trade-offs, model selection and cost optimization required
Experience with data pipeline design or event-driven architectures preferred
Experience with security-minded development, including authentication, authorization, PII protection and secrets management preferred
A commitment to working on-site at Gallup’s San Francisco office at least three days per week required
About Gallup’s AI Team
At Gallup, AI is not an add-on — it is a core development tool and strategic priority. Our AI team operates like a startup, where passion for shaping fast-moving technology and commitment to exceptional outcomes are expected. With the freedom to explore and test frontier models as they ship, we work with real users and real data, rapidly build ambitious systems, prove what works, and hand off what is validated for production scale.
About Gallup
At Gallup, we change the world, one client at a time, through extraordinary analytics and advice on everything important
About the Company
Gallup delivers analytics and advice to help leaders and organizations solve their most pressing problems. Combining more than 90 years of experience with its global reach, Gallup knows more about the attitudes and behaviors of employees, customers, students and citizens than any other organization in the world.
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