Principal Data Scientist​/AI Engineer

Location

Houston, TX 8020 Katy Fwy, Houston, TX 77024, USA

POSITION TITLE: Principal Data Scientist (P5)

For more than three decades, Crown Castle has led the way in shared communications infrastructure, delivering profitable solutions by connecting communities, businesses, and people, and enabling each to thrive with reliable access to voice and data in more places, faster than ever before. When you join Crown Castle, you become part of a dynamic team of passionate and collaborative professionals engaging in complex challenges and contributing to projects that shape the future of life and work.

This role focuses on designing, building, and deploying production-ready AI solutions that support enterprise workflows across operations, engineering, finance, and corporate functions. You will work at the intersection of applied research and software engineering, translating modern AI capabilities into secure, reliable, and scalable systems used in business‑critical environments.

This role offers the opportunity to work on real enterprise problems with measurable impact, apply modern AI responsibly at scale, and help shape how AI is adopted across the organization with a strong emphasis on governance, reliability, and long‑term value.

• Design and implement LLM‑powered applications, assistants, and agentic workflows
• Apply prompt engineering, tool calling, and orchestration patterns
• Translate business problems into scalable AI‑enabled solutions
• Design data pipelines for ingestion, embeddings, and retrieval
• Implement Retrieval‑Augmented Generation (RAG) solutions
• Optimize relevance, context management, and response quality

• Build AI‑driven workflows with conditional logic and human‑in‑the‑loop controls
• Integrate with enterprise data platforms, APIs, and internal systems

• Deploy AI models and applications using modern engineering practices
• Ensure scalability, reliability, monitoring, and cost efficiency
• Support CI/CD pipelines and cloud‑native deployments

• Implement access controls, data protection, and PII handling
• Support AI governance, auditability, and compliance requirements
• Contribute to explainability, bias mitigation, and responsible AI practices

• Bachelor's degree in Math, Statistics, Economics, Computer Science, physics, engineering, or other quantitative discipline required
• Graduate Degree preferred

• 10+ years of experience hands‑on applying descriptive statistics, machine learning, predictive modeling, and visualization techniques to solve challenging business problems required
• Expert knowledge in:
  Statistical and machine learning techniques, Data Science libraries in a programming or scripting language, model deployment, machine learning workflows required
• Strong proficiency in Python and Dev Ops and source control management tools required
• Experience deploying AI or ML solutions in production environments
• Strong understanding of LLM‑based applications and agentic systems
• Experience with RAG architectures and semantic search
• Familiarity with MLOps, monitoring, and CI/CD practices
• Experience working in enterprise or regulated environments

• Applied machine learning and AI
• LLM application development and prompt engineering
• Agentic workflows and orchestration
• Python and modern software engineering
• Data pipelines and enterprise data integration

• Production AI solutions that are secure, reliable, and trusted by the business
• Measurable improvements in automation, efficiency, or decision quality
• Reusable AI components leveraged across teams
• Strong engineering quality, documentation, and collaboration

Reports to: Sr Manager Data Analytics

Title(s) of direct reports (if applicable): N/A

To optimize collaboration, relationship building, and key stakeholder engagement, this role aligns to a 4:1 hybrid model which is in office Monday‑Thursday with the option for remote work on Fridays.

• Comprehensive…