Senior Data Scientist

RealPage, Inc.

. Own end-to-end architecture for AI products and platforms .

Posted 10/26/2026full-timeRichardson • Texas • United StatesSenior💰 $190,578 - $249,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI product architecture, including model selection, multi-agent orchestration, and RAG pipeline development. Proven ability to lead cross-functional teams, mentor engineers, and drive responsible AI practices while ensuring high-quality delivery and performance optimization.

Highest-signal resume keywords

AI Product ArchitecturePython and TypeScript/JavaScriptCloud-Native Systems (GCP, Azure, AWS)LLM-Based Application DesignAI Observability and Evaluation Frameworks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Model SelectionMulti-Agent OrchestrationRAG ArchitecturesLLM Fine-TuningData-Driven Decision MakingPrompt DesignContainerization (Docker, Kubernetes)CI/CD PracticesAI GovernanceScalability Optimization

Soft Skills

Technical LeadershipMentoringCommunicationCollaborationProblem-Solving

Tools & Technologies

GCPAzureAWSDockerKubernetesWindsurfCursorCodexVector DatabasesAI Evaluation Harnesses

Industry Keywords

AI EngineeringMachine LearningData ScienceResponsible AIContent SafetyComplianceData ResidencyIncident ResponseObservabilityPerformance Optimization

Tech Stack

Tools & technologies

AWSAzureCloudDockerGoogle Cloud PlatformJavaScriptKubernetesPythonTypeScript

About the role

Key responsibilities & impact

Own end-to-end architecture for AI products and platforms
Define model selection, multi-agent orchestration, data, and retrieval architecture strategies
Evaluate and introduce emerging LLM, multimodal, streaming, agent framework, and workflow technologies
Design and lead implementation of shared AI services and SDKs
Build reusable RAG pipelines, ingestion frameworks, UI components, and modular agentic back-end capabilities
Establish standards for prompt design and versioning, model and retrieval evaluation, observability, logging, and incident response
Provide hands-on technical leadership to AI Engineers, ML Engineers, and Data Scientists
Guide architectural decisions and code quality; conduct design and code reviews; mentor team members
Help define and grow AI engineering culture focused on innovation, quality, and responsible AI
Partner with Product, Design, and Business stakeholders to identify AI use cases and shape product roadmaps
Define measurable success criteria for AI initiatives
Lead cross-functional AI projects from concept through production
Define requirements and project plans; ensure timely, high-quality, reliable delivery
Iterate based on user feedback and metrics
Define evaluation frameworks and metrics for relevance, safety, satisfaction, and business impact
Drive AI governance and responsible AI practices, including content safety, fairness, PII handling, compliance, and data residency
Collaborate with security, privacy, and legal teams
Lead performance and cost optimization through routing, distillation, caching, infrastructure right-sizing, and build-vs-buy decisions
Define SLAs/SLOs, latency, uptime, and error budgets
Identify and mitigate scalability, data quality, and vendor lock-in risks

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Machine Learning, Data Science, or a related field
Seven (7) years of experience in the job offered or as a Data Scientist, Software Engineer, ML Engineer, or an acceptable alternate occupation
Two (2) years of experience in a senior or leadership role
Production experience with Python and TypeScript or JavaScript
Experience designing and operating distributed, cloud-native systems using GCP, Azure, or AWS
Experience with containerization and orchestration such as Docker or Kubernetes
Experience with modern CI/CD
Experience with coding assistants such as Windsurf, Cursor, or Codex
Experience architecting and shipping complex AI systems to production at scale
Experience leading multi-engineer initiatives and mentoring others
Ability to make data-driven tradeoffs between speed, quality, and cost
Advanced experience with LLM-based application design, prompting, tool use, function calling, and multi-agent workflows
Advanced experience with RAG architectures, vector databases, and retrieval optimization techniques
Advanced experience with AI observability, monitoring, and evaluation frameworks
Ability to communicate complex AI concepts to executives and non-technical partners
Experience presenting AI strategy and progress to leadership and cross-functional teams
Advanced experience in context engineering, including prompt design, RAG pipelines, grounding strategies, and multi-turn orchestration
Ability to build and maintain LLM evaluation harnesses, including dataset creation, automated benchmarking, regression testing, and quality-of-output analysis
Hands-on experience with LLM fine-tuning such as SFT, PEFT/LoRA, and distillation
Ability to prototype and deliver AI proofs of concept
Ability to translate ambiguous business problems into validated technical solutions through rapid experimentation
Ability to read, interpret, and apply scientific research from AI/ML papers
Ability to implement state-of-the-art AI/ML techniques

Benefits

Comp & perks

Remote work permitted
Travel required to Richardson, TX office 1 week per month