Please note that this is a contract role providing services to Hilton through Talent Solutions. If you are selected for this role, you will be employed by Talent Solutions and will not be an employee of Hilton. Contract workers are not employees of Hilton or any of its subsidiaries, nor will they be eligible for Hilton benefits.

***US based remote role with a preference for a candidate near McLean, VA, Dallas, TX or Memphis, TN***

Job Summary:
This is an exciting opportunity for a hands-on technical leader to play a pivotal role in designing, implementing, and evolving enterprise-scale cloud, data, analytics, and AI platforms across global regions, including the US and China. The ideal candidate will bring deep expertise in cloud-native architectures, modern data platforms, advanced analytics, Generative AI, and intelligent automation, and will work in close partnership with Enterprise Architects, Data Architects, AI/ML Engineers, Data Engineers, and Solution Architects. Operating under the strategic guidance of Enterprise and Principal Architects, this individual will be instrumental in delivering scalable, secure, and resilient cloud solutions that align with business priorities, enterprise standards, and long-term technology strategy, while driving meaningful innovation across data, AI, and cloud ecosystems.

Responsibilities:
Design and implement enterprise-scale AWS cloud, data, and AI architectures.

Lead cloud adoption, infrastructure deployments, and platform modernization initiatives.

Architect scalable data lake, warehouse, and lakehouse solutions using AWS services.

Build Infrastructure as Code (IaC), CI/CD pipelines, and automation frameworks.

Establish architecture standards, governance, security, and operational best practices.

Design data ingestion, transformation, analytics, and semantic layer frameworks.

Develop AI-ready architectures using AWS Bedrock, vector databases, knowledge bases, and RAG solutions.

Architect AI agents, agentic workflows, and intelligent automation platforms.

Drive AI innovation through proofs of concept and emerging technology evaluations.

• 3+ years strong hands-on experience with AWS services including S3, Lambda, IAM, Glue, Athena, Redshift, Lake Formation, EMR, Kafka/MSK, Step Functions, ECS/EKS, and CloudWatch
• 3+ years extensive SQL expertise and deep experience designing and optimizing Amazon Redshift-based analytics platforms
• 4+ years experience building enterprise-scale data lakes, lakehouses, and modern data platforms
• 4+ years experience with ETL/ELT technologies such as Talend, Informatica, dbt, Matillion, or equivalent tools
• 1+ years experience with AWS Bedrock, foundation models, embeddings, vector databases, and Generative AI architectures
• 1+ years experience building proofs of concept and translating emerging technologies into production-ready solutions

• Experience with Neo4j, Amazon Neptune, OpenSearch, Pinecone, Weaviate, or equivalent graph and vector technologies preferred
• Experience implementing MLOps, LLMOps, AI governance, and model lifecycle management frameworks preferred
• Exposure to multi-region and cross-border cloud deployments, including China-based AWS environments preferred

This is a rare opportunity to sit at the intersection of cloud infrastructure, modern data engineering, and cutting-edge artificial intelligence at a truly global scale. You will have the chance to shape the future of enterprise AI and cloud platforms, influence technology strategy across international markets, and work alongside some of the brightest minds in the industry. If you are passionate about building transformative solutions and thrive in a fast-paced, innovation-driven environment, this role offers the platform to make a lasting and meaningful impact.