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 me
Additional Information
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.
Unisys · Bangalore, India