RealPage, Inc. · 1 day ago
Sr. AI Architect (DFW Area)
Richardson, TX
Full-time
Hybrid
Senior Level, Lead/Staff
$158K/yr - $268K/yr
10+ years expRealPage, Inc. is at the forefront of the Generative AI revolution, dedicated to shaping the future of artificial intelligence within the Property Tech domain. They are seeking a Sr. AI Architect who will provide end-to-end technical direction for the Agentic & Generative AI ecosystem, defining architectures and enabling teams to build AI-powered products. This role involves collaboration with product and engineering leadership to translate business strategy into an AI architecture roadmap.
Document ManagementPaymentsProperty ManagementPropTechSaaSSoftware
Responsibilities
Enterprise AI Architecture & Strategy
Define the overarching AI architecture for RealPage:
Standard patterns for RAG, multi-agent systems, and workflow orchestration
Integration with existing microservices, data platforms, and event-driven systems
Create and own AI reference architectures, blueprints, and design patterns that individual product teams can adopt and extend
Evaluate and recommend vendors and technologies across:
Model providers (OpenAI, Anthropic, Google, xAI, Meta, Mistral, etc.)
Vector databases (pgvector, Pinecone, Weaviate, Qdrant , etc.)
Agent frameworks and orchestration tools (Agents SDK, Google ADK, LangChain, workflow engines like n8n, Zapier, etc.)
Platformization & Shared Capabilities
Own the end-to-end architecture for AI products and platforms:
Model selection strategy (Google vs. OpenAI, small vs. large models)
Multi-agent and workflow orchestration patterns (responder/thinker pattern, tool calling, agentic frameworks)
Data and retrieval architecture (RAG, hybrid search, knowledge graphs, semantic caching)
Define and champion approaches for:
Semantic caching, cost optimization, and latency reduction
Multi-tenant, domain-isolated AI use across RealPage products
Data, Retrieval & Knowledge Architecture
Partner with Data/Analytics teams to align AI architecture with data strategy:
Data sourcing from warehouses/lakes, operational databases, event streams
Governance for which data can be used in training, retrieval, and inference
Architect robust RAG and knowledge systems:
Taxonomies and metadata standards
Implement knowledge retrieval process that draws from multiple sources and uses reranking to improve the response quality
Long-context models, memory systems, and potential use of knowledge graphs / vector-native databases
Define ingestion and refresh strategies to keep AI knowledge current and trustworthy
Security, Compliance & Responsible AI
Define architectural guardrails for:
Data privacy, PII redaction, and tenant isolation
Encryption, key management, and secure connectivity to model providers
On-prem / VPC deployments for sensitive workloads where required
Collaborate with Security, Privacy, and Legal teams to define policies and patterns for:
Content safety, toxicity filtering, and jailbreak resistance
Auditability and traceability of AI decisions (logs, traces, model versions, prompts, and responses)
Establish a Responsible AI framework in partnership with leadership:
Guidelines for fairness, bias mitigation, and explainability where appropriate
Review processes for high-risk AI features
Observability, Evaluation & MLOps
Architect end-to-end observability for AI systems:
Traces and spans for prompts, model calls, tool calls, and RAG steps (e.g., OpenTelemetry, LangSmith)
Metrics for latency, cost, error rates, and model-specific KPIs
Define standard evaluation approaches:
Offline evaluation harnesses for RAG and LLM tasks (e.g., Ragas, TruLens, custom eval suites)
Online experimentation patterns (A/B tests, feature flags, canary releases)
Work with MLOps/Platform Engineering to:
Integrate AI workflows into CI/CD and deployment pipelines
Technical Leadership & Cross-Functional Collaboration
Provide architectural leadership to AI Engineers, ML Engineers, and product teams:
Support solution design for critical AI features and platforms
Conduct design reviews and guide trade-offs (build vs. buy, Google ADK vs. OpenAI SDK)
Partner with Product leaders to:
Identify high-leverage AI opportunities based on our data and capabilities
Translate business strategies into a prioritized, feasible AI roadmap
Act as a key technical representative for AI architecture in discussions with senior leadership and external partners
Qualification
Required
Typically 10+ years experience in Software Engineering / ML Engineering / Data Platforms, with 3+ years in applied AI/ML and 2–3+ years in an architect/principal or equivalent role
Working with coding assistants like Windsurf, Cursor, Codex, etc
Deep experience designing and operating cloud-native systems on AWS, GCP, or Azure, including Kubernetes, Docker, service meshes, API gateways, CI/CD pipelines and infrastructure-as-code (Terraform, CloudFormation, etc.)
Strong expertise in Python and TypeScript/JavaScript ecosystems
Modern architectural styles (microservices, event-driven, serverless, domain-driven design)
Proven track record architecting and delivering production AI/LLM systems: LLM integration (APIs and/or self-hosting), tool calling, and multi-step/agentic workflows, RAG architectures, vector databases, and retrieval optimization at scale, robust observability and evaluation practices for AI-driven products
Strong understanding of data architecture (data lakes/warehouses, streaming, batch pipelines)
Security and compliance considerations for AI (identity, access control, tenant isolation, PII/PHI)
Excellent communication and leadership: Comfortable engaging with executives, product leaders, and engineering teams, Able to create clear architectural documentation, roadmaps, and decision records
Preferred
Experience with multimodal and real-time agents (voice, vision, document understanding, OCR, streaming interactions)
Background in building internal platforms or Centers of Excellence for AI
Establishing architectural governance (ADR processes, reference implementations, tech standards)
AI in regulated or data-sensitive environments (finance, healthcare, housing, etc.)
Familiarity with AI product management concepts (user research, experimentation, metrics for AI features)
Emerging AI stack components (guardrail frameworks, AI-native workflow engines, semantic routers)
Browser automation software such as PlayWright
Benefits
Health, dental, and vision insurance.
Retirement savings plan with company match.
Paid time off and holidays.
Professional development opportunities.
Performance-based bonus based on position.
Company
RealPage, Inc.
RealPage is the leading global provider of AI-enabled software platforms to the real estate industry.
5001-10000 employees
H1B Sponsorship
RealPage, Inc. has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (10)
2024 (19)
2023 (11)
2022 (11)
2021 (17)
2020 (7)
Funding
Current Stage
Public CompanyTotal Funding
$105.04MKey Investors
Camden PartnersApax Partners
2022-01-13Post Ipo Equity· $18.64M
2020-12-21Acquired
2011-09-15Post Ipo Equity· $6.87M
Leadership Team
Dirk Wakeham
Chief Executive Officer
Steve Winn
Chairman of the Board, President & CEO
Recent News
2025-12-25
2025-12-25
2025-12-24
Company data provided by crunchbase