Lead AI Engineer – Agentic & Generative AI (DFW Area)
RealPage, Inc.9 months ago
Richardson, TX, USAStaff+
Base Salary
$123k - $209k/yr
Responsibilities
- Own the end-to-end architecture, technical roadmap, and delivery of agentic and generative AI products and platforms.
- Design model-selection, multi-agent orchestration, workflow, data, retrieval, and knowledge-graph architectures.
- Lead implementation of shared AI services, SDKs, reusable RAG pipelines, ingestion frameworks, UI components, and agentic backend capabilities.
- Establish standards for prompt versioning, model and retrieval evaluation, observability, logging, incident response, and responsible AI.
- Provide hands-on technical leadership, design and code reviews, mentoring, and architectural guidance to AI Engineers, ML Engineers, and Data Scientists.
- Partner with product, design, business, security, privacy, and legal teams to identify use cases, shape roadmaps, and deliver compliant AI solutions.
- Lead complex cross-functional AI initiatives from concept through production and ongoing iteration.
- Define evaluation frameworks and governance practices covering relevance, safety, user satisfaction, bias, fairness, PII, compliance, and data residency.
- Optimize AI system performance and cost through routing, distillation, caching, infrastructure right-sizing, and build-versus-buy decisions.
- Manage reliability objectives, technical risks, scalability, data quality, vendor lock-in, latency, uptime, and error budgets.
Requirements
- 8+ years of experience in Software Engineering, ML Engineering, or Data Science.
- 3+ years of hands-on experience with applied AI and large language models, plus at least 2+ years in a senior or lead role.
- Deep production expertise with Python and TypeScript/JavaScript.
- Experience designing and operating distributed, cloud-native systems on GCP, Azure, or AWS.
- Experience with Docker, Kubernetes, and modern CI/CD practices.
- Experience using coding assistants such as Windsurf, Cursor, or Codex.
- Proven success architecting and shipping complex AI systems to production at scale.
- Experience leading multi-engineer initiatives, mentoring engineers, and making data-driven speed, quality, and cost tradeoffs.
- Advanced experience with LLM application design, prompting, tool use, function calling, multi-agent workflows, RAG architectures, vector databases, retrieval optimization, AI observability, monitoring, and evaluation frameworks.
- Strong communication and stakeholder management skills, including communicating AI strategy to executives and non-technical partners.
- Preferred experience with multimodal and real-time agents, AI experiment tracking and evaluation frameworks, data platforms, Kafka, browser automation, and regulated or privacy-constrained domains.
- Preferred experience developing organizational AI strategies, technical standards, and AI hiring or capability roadmaps.
Benefits
- Hybrid DFW-area position requiring attendance in the office 2–3 days per week.
Tech Stack
Categories