Senior Principal AI Platform Architect

Overview

Design and lead the evolution of enterprise-wide AI platforms and architecture to enable AI-powered products, intelligent workflows, and scalable digital transformation. Combine enterprise architecture, platform engineering, and AI delivery to build secure, scalable, and operationally viable solutions.

What you'll do

• 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 across AWS, Azure, GCP, and 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'll need

• 12+ years of experience in software engineering, AI/ML systems, or platform architecture, with strong focus on Generative AI.
• 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.
• 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.
• Strong foundation in cloud, including AWS, Azure, GCP, hybrid, and on-prem architectures.
• Experience with GPU infrastructure, model deployment, and inference optimization.
• Proficiency in APIs, including REST and GraphQL, microservices, and distributed systems.
• Hands-on experience with DevSecOps, CI/CD pipelines, and Infrastructure as Code, including Terraform.
• Knowledge of data platforms, ETL, data warehousing, and analytics systems.
• Expertise in enterprise integration patterns and API governance.
• Strong understanding of security, identity, including SSO and OAuth2/OIDC, and compliance frameworks, including ISO27001 and GDPR.
• Ability to influence senior stakeholders and cross-functional teams.
• Strong communication translating technical architecture into business outcomes.
• Experience leading engineering and architecture teams.
• 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 across ERP, CRM, data platforms, and digital ecosystems.
• Demonstrated ability to balance innovation with operational stability, risk, and compliance.
• 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.

Nice to have

• Cloud or AI certifications, including Azure Developer, Azure AI Engineer, or equivalent.

Details

• Location: Bangalore, KA, India.