Principal Enterprise Architect

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Enterprise Architect based in India.

The Principal Enterprise Architect will shape the technical vision for highly scalable, cloud-native, and AI-enabled enterprise systems. You will combine strategic architecture leadership with hands-on technical expertise to modernize platforms, improve performance, and optimize cloud costs. The role has a strong focus on AWS, distributed systems, multi-tenant SaaS architectures, data platforms, and GenAI adoption. You will work closely with engineering teams to turn architectural strategies into practical solutions through prototypes, automation, and self-service capabilities. As an AI adoption catalyst, you will help embed intelligent tools and workflows throughout the software development lifecycle while maintaining strong security and governance. This is a high-impact opportunity to influence technology direction across a global environment while mentoring teams and driving long-term architectural excellence.

• Own the technical vision and architecture strategy for scalable, high-performance, and cost-efficient enterprise systems.
• Define modern architecture patterns that support rapid growth, high transaction volumes, reliability, and seamless scalability.
• Design and optimize multi-tenant SaaS platforms with strong configurability, performance, and operational efficiency.
• Develop self-service capabilities that reduce engineering effort, including workflow designers, rules engines, reporting solutions, and AI-enabled tools.
• Lead cloud cost optimization initiatives covering infrastructure, compute resources, model execution, and operational efficiency.
• Partner with cloud support and solution architecture teams to optimize infrastructure and leverage emerging cloud capabilities.
• Architect high-scale distributed data processing platforms supporting both batch and real-time workloads.
• Optimize data storage, retrieval, processing, governance, security, and accessibility for analytics, machine learning, and business use cases.
• Guide engineering teams on microservices, event-driven architectures, cloud-native patterns, scalability, and architectural best practices.
• Validate architectural decisions through hands-on prototyping, proof-of-concepts, and technical experimentation.
• Champion the adoption of GenAI, LLMs, and agentic workflows across the software development lifecycle while maintaining appropriate security, governance, and cost controls.
• Lead architectural governance and cross-functional reviews, identifying technical debt, resolving complex trade-offs, and maintaining long-term system coherence.
• Establish and promote architectural standards across product teams and mentor engineering leaders on effective technical decision-making.

Requirements

• 12+ years of hands-on experience in system architecture, data engineering, cloud engineering, or technical leadership roles.
• Extensive experience designing multi-tenant architectures and configurable SaaS platforms.
• Deep hands-on expertise with AWS, including technologies such as EKS, IAM, Lambda, and cloud networking; professional GCP experience is a strong plus.
• Strong knowledge of distributed systems, microservices, event-driven architectures, caching strategies, and high-scale transactional platforms.
• Hands-on understanding of AI/ML model execution, including inference performance, cost trade-offs, and optimization strategies.
• Experience with infrastructure automation and modern engineering practices using technologies such as Terraform, CI/CD, Kubernetes, and Docker.
• Expert-level Java development skills and strong Python capabilities, with knowledge of JavaScript/TypeScript and Kotlin.
• Proven experience leading architectural review processes, establishing engineering standards, and driving technical alignment across teams.
• Demonstrated success integrating GenAI and machine learning approaches into software development processes.
• Strong strategic stakeholder management skills, with the ability to communicate complex technical concepts and align diverse teams around common objectives.
• Experience conducting or contributing to complex financial and Total Cost of Ownership (TCO) analysis for enterprise technology.
• Strong strategic thinking combined with a hands-on, pragmatic, and execution-oriented mindset.
• Ability to coach, mentor, influence, and bring engineering teams along through technology transformation.
• Experience working in fast-paced environments where multiple priorities require sound architectural judgment and decisive execution.

Benefits

• Competitive compensation with a high level of ownership and responsibility.
• Opportunity to influence technology architecture at significant scale.
• Hands-on involvement in complex cloud, AI/ML, distributed systems, and SaaS initiatives.
• Opportunity to drive GenAI adoption and shape AI-enabled software development practices.
• Collaboration with experienced engineers and AI/ML specialists on technically challenging projects.
• Exposure to modern cloud infrastructure and opportunities to drive continuous platform modernization.
• Opportunity to work on real-world security, identity, and high-volume transaction challenges.
• Remote work opportunity based in India.
• Inclusive and multicultural environment that values diverse perspectives and collaboration.
• Opportunity to contribute to innovative technology initiatives with global impact.