Principal AI Platform Architect

Role overview Set enterprise technology direction and lead architecture for complex environments, spanning new platform development, legacy modernization, and hybrid infrastructure. The role brings together cloud and on-premises design, AI and machine learning platforms, data architecture, security governance, and executive-level advice, while building engineering capability across teams.

Responsibilities - Define enterprise and solution architecture, API strategy, governance frameworks, and integration patterns across multiple stakeholders. - Design scalable, cost-aware infrastructure across on-premises, cloud, and hybrid environments, including AWS, Azure, and Google Cloud. - Architect AI and machine learning platforms, including GPU infrastructure, model deployment, inference optimization, LLM pipelines, and agent workflows. - Establish DevSecOps practices such as CI/CD, infrastructure as code, and automated deployment. - Set data architecture and analytics patterns, and guide vendor evaluation and technology selection, including AI tools. - Advise senior executives on technology strategy, transformation, risk, security, and compliance; mentor teams and improve organizational practices.

Requirements - Significant experience in enterprise architecture, platform engineering, or infrastructure leadership. - A track record delivering complex enterprise-scale cloud, hybrid, and platform solutions. - Deep experience setting architecture standards, governance models, and technology strategy. - Strong background in AI and machine learning platforms, data architecture, and adoption of emerging technologies. - Experience advising senior stakeholders, leading engineering or architecture teams, and working in regulated environments. - Ability to balance innovation with operational stability, cost, security, and scalability.

Nice to have The listing names experience with Terraform, containers, REST or GraphQL APIs, SSO and OAuth standards, data warehousing, ETL, and business intelligence. Familiarity with security frameworks and regulations such as ISO 27001, PCI DSS, GDPR, and emerging AI rules is also relevant. Agile, SAFe, and domain-driven design practices are mentioned.

Benefits and work setup Remote or hybrid work is offered, along with an executive-level compensation package, performance bonus opportunity, flexible cafeteria benefits, a home office allowance, private health insurance, and learning opportunities.