Senior AI Platform Architect (Cloud & GenAI)

Sia

Charlotte (NC)

On-site

USD 117,000 - 121,000

Full time

14 days+

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Benefits offered by this job

Annual bonus
Health insurance
401(k) with match
HSA/FSA options
Paid parental leave
PTO + holidays
Professional development

Job summary

Sia is seeking an experienced Solution Architect to lead AI Platforms engagements, translating business requirements into scalable data and AI architectures across cloud and generative AI domains. You will work with CIOs and engineering leads to align security, regulatory, and cost constraints while guiding delivery teams.

This staff-level role is embedded in cross-functional projects, with a path to engineering management, and includes pre-sales involvement, architecture governance, and

Qualifications

  • Master’s degree required in CS/engineering or related field.
  • 4–7 years in solution/cloud architecture or senior engineering with design responsibilities.
  • Experience with AWS, Azure, GCP or Databricks and AI platforms.
  • Strong communication and presentation skills for technical audiences.

Responsibilities

  • Define end-to-end data and AI architectures for client engagements across cloud and AI domains.
  • Lead architecture reviews, ensure security, compliance and cost controls.
  • Collaborate with stakeholders (CIO, CISO, VP Eng) and translate business needs into technical solutions.
  • Support pre-sales with scoping, estimation, and technical proposals.
  • Mentor junior consultants and contribute to internal IP and accelerators.

Skills

Solution architecture
Cloud platforms
AWS
Azure
GCP
Generative AI
Stakeholder communication
French language
English proficiency

Education

Master’s degree in computer science, engineering, or related field

Job description

Sia is seeking an experienced Solution Architect to lead AI Platforms engagements, translating business requirements into scalable data and AI architectures across cloud and generative AI domains. You will work with CIOs and engineering leads to align security, regulatory, and cost constraints while guiding delivery teams.

This staff-level role is embedded in cross-functional projects, with a path to engineering management, and includes pre-sales involvement, architecture governance, and

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