Senior Principal AI Platform Architect

Unisys India Private Limited; Bengaluru; On-site; INR 4,000,000 - 8,000,000; Full time

Job summary

Unisys India Private Limited seeks a Senior Principal AI Platform Architect to lead enterprise AI platform strategy, alignment of AI data and cloud ecosystems, and the design of scalable, secure AI solutions across the organization.

The role involves hands-on prototyping, architecture governance, and mentoring engineering teams to accelerate delivery while ensuring compliance and risk management.

Qualifications

• Define architecture principles, governance models, and long-term tech strategy.
• Experience building AI platforms with LLMs, RAG, and semantic search.
• Proven ability to design scalable, production-grade AI platforms.
• Hands-on with cloud (AWS/Azure/GCP), hybrid/on-prem infra.
• Strong API, microservices, and IaC experience.

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 into business processes.
• Lead end-to-end solution architecture from concept through implementation and scale.
• Develop target architectures and capability roadmaps for AI adoption.
• Establish DevSecOps practices, including CI/CD and Infrastructure as Code.

Skills

Enterprise architecture

AI platforms

Cloud architectures

DevSecOps

APIs (REST/GraphQL)

Security & compliance

Education

Bachelor's/Master's in CS/Engineering/AI

Tools

Terraform

Job description

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.

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 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.

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 [e-mail] . US job seekers can find more information about Unisys’ EEO commitment here.

Experience Level Senior Level