Principal Data & AI Architect

RWE•Austin, TX

1d•Onsite

About The Position

The AI/Data Platform Architect is a hands-on technical role responsible for designing and implementing the end-to-end architecture that enables secure, scalable, and production-grade AI and data solutions across the enterprise. This role translates business and AI product requirements into production-ready technical designs, ensuring interoperability, reliability, reusability, and alignment with enterprise architecture, cybersecurity, data governance, and responsible AI standards.

Requirements

Master’s or PhD degree in computer science, data science, STEM, or related field required
Minimum 11 years of professional experience with minimum 5 years of experience in platform architecture, cloud architecture, data engineering, or related technology roles within enterprise environments, including at least 5 years of hands-on experience in AI/ML engineering or data architecture roles, with demonstrated ability to design and deliver production-grade AI solutions in enterprise or cloud-native environments
Deep hands-on expertise in AI/ML engineering, including experience building and deploying models, pipelines, and supporting infrastructure
Prior experience architecting solutions involving RAG frameworks, vector databases, prompt engineering, agentic workflows, and predictive models
Strong systems thinking with the ability to design scalable, secure, and modular architectures across data and AI layers
Working knowledge of data engineering fundamentals: data modeling, pipeline orchestration, and data quality
Understanding of data governance, cybersecurity, and responsible AI design principles
Ability to translate business requirements into clear architectural blueprints and technical standards
Clear, structured communication skills to engage both technical teams and senior stakeholders effectively
Advanced problem-solving skills in complex, distributed technical environments
Must be able to sit, walk, or stand for long durations of time

Responsibilities

Design, implement, and maintain the target-state architecture for the enterprise AI and data platform, including cloud infrastructure, data pipelines, MLOps workflows, model deployment, and monitoring frameworks
Architect solutions involving advanced AI patterns such as RAG frameworks, vector databases, agentic workflows, MCP-based integrations, and predictive models
Define architectural standards, integration patterns, and reusable design principles that enable scalable, modular, and maintainable AI solution development
Partner with product teams, data engineers, and IT/OT to translate use case requirements into robust, production-ready technical designs
Evaluate and recommend technologies, tools, and frameworks to support evolving AI, data, and analytics capabilities
Provide technical leadership and oversight during implementation, conducting architecture reviews and resolving complex design challenges
Ensure all designs align with enterprise architecture, cybersecurity, data governance, and responsible AI policies