Senior Principal AI Platform Architect
Unisys Corporation15 hours ago
Bengaluru, IndiaStaff+
Responsibilities
- 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 in business processes.
- Lead solution architecture from concept and prototyping through implementation and scale.
- Develop target architectures, reusable patterns, capability roadmaps, governance frameworks, and API strategies.
- Design and manage hybrid, multi-cloud, on-premise, and GPU infrastructure.
- Establish DevSecOps practices, automated deployment pipelines, and infrastructure-as-code approaches.
- Architect data platforms, knowledge systems, analytics capabilities, and enterprise integrations across ERP, CRM, and workflow systems.
- Ensure security, compliance, and responsible AI practices align with regulatory requirements.
- Lead hands-on prototyping, solution validation, vendor evaluation, technology selection, and AI tooling strategy.
- Advise senior stakeholders and boards on architecture decisions, risks, trade-offs, cost, and scalability.
- Support and mentor engineering and architecture teams during execution.
Requirements
- 12+ years of experience in software engineering, AI/ML systems, or platform architecture, with a strong focus on Generative AI.
- Proven experience as a Senior Principal, Enterprise Architect, AI Platform Architect, Solution Architect, or Enterprise Technical Architect.
- Experience defining architecture principles, governance models, standards, and long-term technology strategy.
- Experience designing and implementing large-scale AI, data, and cloud transformation programs and production-grade AI platforms.
- Knowledge of LLMs, RAG, semantic search, agent-based systems, AI-enabled workflows, and enterprise AI adoption.
- Strong experience with AWS, Azure, GCP, hybrid and on-premise architectures, GPU infrastructure, model deployment, and inference optimization.
- Proficiency with APIs, REST, GraphQL, microservices, distributed systems, CI/CD pipelines, and Terraform.
- Knowledge of data platforms, ETL, data warehousing, analytics systems, enterprise integration patterns, and API governance.
- Strong understanding of security, identity, SSO, OAuth2/OIDC, and compliance frameworks including ISO27001 and GDPR.
- Experience leading engineering and architecture teams and influencing senior stakeholders and cross-functional teams.
- Experience working in complex, multi-stakeholder, regulated, and enterprise systems integration environments.
- Bachelor’s or master’s degree in Computer Science, Engineering, AI, or a related field.
- Cloud or AI certifications such as Azure Developer or Azure AI Engineer are preferred.
Tech Stack
Categories
About Unisys Corporation
Unisys Corporation provides IT services, consulting, and software for enterprises and public-sector agencies, including digital workplace, cloud and infrastructure, cybersecurity, and enterprise computing/mainframe systems. The company was formed in 1986 and is headquartered in Blue Bell, Pennsylvania; it is publicly traded on the NYSE. Unisys works across regulated industries such as government, financial services, and transportation, offering managed services and mission-critical solutions.