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

Bachelor’s or Master’s 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 GlobalRecruiting@unisys.com . US job seekers can find more information about Unisys’ EEO commitment here .