Data & AI Solution Architect

XCUTIVES INC.; United States; On-site; USD 180,000 - 240,000; Full time

Job summary

XCUTIVES INC. is seeking a Data & AI Architect (AWS) to design and deliver enterprise-grade data platforms and AI-enabled solutions on AWS.

You will lead architecture across data engineering, analytics, ML, and generative AI, collaborating with Sales, Industry Teams, Cloud Architects, and Delivery to ensure scalable, secure, and cost-efficient AWS implementations. The role requires deep AWS expertise and hands-on experience with data services, ML tools, and modern data platforms.

Qualifications

• 10-15+ years of experience in data architecture, analytics, or AI/ML engineering with strong focus on AWS.
• Proven experience designing and delivering enterprise data lakes, analytics platforms, and AI solutions on AWS.
• Strong hands-on knowledge of AWS data services, AI/ML services, and distributed data processing frameworks.
• Experience with cloud data migration, modernization, and large-scale platform implementation.
• Ability to translate complex technical architectures into business outcomes.

Responsibilities

• Design and deliver enterprise-grade data platforms and AI-enabled solutions on AWS.
• Provide architectural leadership across data engineering, analytics, ML, and generative AI.
• Collaborate with Sales, Industry Teams, Cloud Architects, and Delivery to shape scalable, secure AWS architectures.

Skills

AWS

Data certification

Data & AI

Job description

Skillset: AWS Data certification and experience in Data & AI in similar companies.

Role Overview

The Data & AI Architect (AWS) is responsible for designing and delivering enterprise-grade data platforms and AI-enabled solutions on Amazon Web Services (AWS). This role provides architectural leadership across data engineering, analytics, machine learning, and generative AI, supporting large-scale cloud modernization and AI-led transformation programs.

The architect partners with Sales, Industry Teams, Cloud Architects, and Delivery to shape scalable, secure, and cost-effective AWS data and AI architectures that align to client business objectives and Cloud and AWS partnership strategy.

Required Experience & Qualifications

• 10-15+ years of experience in data architecture, analytics, or AI/ML engineering, with strong focus on AWS.
• Proven experience designing and delivering enterprise data lakes, analytics platforms, and AI solutions on AWS.
• Strong hands-on knowledge of AWS data services, AI/ML services, and distributed data processing frameworks.
• Experience with cloud data migration, modernization, and large-scale platform implementation.
• Ability to translate complex technical architectures into business outcomes.