Senior Principal AI Platform Architect

What success looks like in this role:

Design and lead the evolution of enterprise-wide AI platforms and architecture to enable AI-powered products intelligent workflows and scalable digital transformation. This role combines enterprise architecture platform engineering and AI delivery to build solutions that are secure scalable and operationally viable. The AI Platform Architect ensures end-to-end alignment from strategy through implementation balancing innovation governance and enterprise usability.

• Define and drive enterprise architecture strategy across AI data cloud and platform ecosystems
• Architect and evolve enterprise AI platforms including LLM pipelines RAG systems and agentic workflows
• Design intelligent applications copilots and conversational AI solutions embedded into business processes
• Lead end-to-end solution architecture from concept and prototyping through implementation and scale
• Develop target architectures reusable patterns and capability roadmaps for AI adoption
• Design and manage hybrid multi-cloud and on-prem infrastructure (AWS Azure GCP GPU environments)
• Define and implement API strategy integration patterns and enterprise governance frameworks
• Establish DevSecOps practices including CI/CD Infrastructure as Code and automated deployment pipelines
• Architect data platforms knowledge systems and analytics capabilities to enable AI and decision-making
• Enable enterprise integration across ERP CRM data platforms and workflow systems
• Ensure security compliance and responsible AI practices aligned with regulatory requirements
• Lead hands-on prototyping and solution validation to accelerate delivery and reduce risk
• Provide senior stakeholder and board-level advisory on architecture decisions risks and trade-offs
• Drive vendor evaluation technology selection and AI tooling strategy
• Support and mentor engineering teams to ensure effective execution of architecture designs

What You Bring

Enterprise Architecture & Platform Strategy

• Strong experience in enterprise and solution architecture across complex environments
• Ability to define architecture principles governance models and long-term technology strategy
• Expertise in platform thinking and enterprise system design

AI & Data Platforms

• Experience with AI/ML platforms including LLMs RAG semantic search and agent-based systems
• Understanding of AI-enabled workflows knowledge systems and enterprise AI adoption
• Ability to design scalable production-grade AI platforms

Cloud Infrastructure & Engineering

• Strong foundation in cloud (AWS Azure GCP) hybrid and on-prem architectures
• Experience with GPU infrastructure model deployment and inference optimization
• Proficiency in APIs (REST GraphQL) microservices and distributed systems
• Hands-on experience with DevSecOps CI/CD pipelines and Infrastructure as Code (Terraform)

Data Integration & Security

• Knowledge of data platforms ETL data warehousing and analytics systems
• Expertise in enterprise integration patterns and API governance
• Strong understanding of security identity (SSO OAuth2/OIDC) and compliance frameworks (ISO27001 GDPR etc.)

Leadership & Collaboration

• Ability to influence senior stakeholders and cross-functional teams
• Strong communication translating technical architecture into business outcomes
• Experience leading engineering and architecture teams
• Balanced approach to innovation governance cost and scalability

Ideal Background

• Proven experience as an Enterprise Architect AI Platform Architect or Solution Architect
• Track record delivering large-scale AI data and cloud transformation programs
• Experience designing and implementing enterprise AI platforms and intelligent applications
• Strong mix of strategic thinking and hands-on architecture execution
• Experience working in complex multi-stakeholder and regulated environments
• Background in enterprise systems integration (ERP CRM data platforms digital ecosystems)
• Demonstrated ability to balance innovation with operational stability risk and compliance

#LI-SS1

You will be successful in this role if you have:

• 12 years of experience in software engineering AI/ML systems or platform architecture with strong focus on Generative AI
• Proven experience acting as Senior Principal / Enterprise Technical Architect within large Engineering organizations
• Demonstrated ability to define architecture standards and guide large engineering teams
• Strong stakeholder engagement skills across engineering leadership and executive teams
• Self-driven collaborative and comfortable working in fast-paced engineering environments
• Bachelors or Masters degree in Computer Science Engineering AI or related field
• Cloud or AI certifications (Azure Developer Azure AI Engineer or equivalent) preferred

Unisys is proud to be an equal opportunity employer that considers all qualified applicants without regard to age blood type caste citizenship color disability family medical history family status ethnicity gender gender expression gender identity genetic information marital status national origin parental status pregnancy race religion sex sexual orientation transgender status veteran status or any other category protected by law.

Local employment practices and rights may vary by jurisdiction and are subject to applicable local laws. This commitment includes our efforts to provide for all those who seek to express interest in employment the opportunity to participate without barriers.

If you are a US job seeker unable to review the job opportunities herein or cannot otherwise complete your expression of interest without additional assistance and would like to discuss a request for reasonable accommodation please contact our Global Recruiting organization at . US job seekers can find more information about Unisys EEO commitment here.