Role Summary

We are seeking a Principal Architect to help lead the next generation of AI-enabled product,platform, and engineering capabilities across our organization. This is a senior individualcontributor role operating at the highest levels of technical leadership. The ideal candidate willcombine deep AI architecture expertise with strong enterprise architecture judgment, practicaldelivery experience, and the ability to influence teams across business units.

This role will partner closely with business and technology leaders to shape product andplatform architectures, define and uphold enterprise standards, and help our engineeringorganization adopt modern AI and AI-powered software delivery practices responsibly andeffectively.

Key Responsibilities

Lead architecture for strategic AI initiatives across products, platforms, and shared enterprisecapabilities

Partner with business units, product leaders, and engineering teams to shape scalable,secure, and practical AI solution architectures

Define and evolve architecture standards, reference patterns, and guardrails for AI solutionsand AI-enabled software development

Evaluate emerging AI technologies, platforms, and patterns, and guide the organization onwhere and how to adopt them

Provide architectural leadership for capabilities, agentic workflows, AI orchestration,evaluations, AI observability, and AI governance

Ensure AI solutions align with enterprise requirements for security, privacy, compliance,resiliency, observability, and maintainability

Help engineering teams leverage AI-powered PDLC capabilities across coding, testing,documentation, analysis, and delivery workflows





Guide architecture decisions across application, data, integration, platform, and operationalconcerns to avoid fragmented or duplicative solutions

Mentor technical leads and senior engineers and contribute to raising the technical bar acrossthe organization

Participate in architecture reviews, technical strategy discussions, and investment decisionsrelated to AI and platform modernization

Required Qualifications

Bachelor’s or masters degree in Computer Science, Engineering, or related field, or equivalentpractical experience

12+ years of experience in software engineering, architecture, or technology leadership roles

Significant experience designing and guiding enterprise-grade AI solutions in productionenvironments

Deep knowledge of modern AI architecture patterns, including LLM-based applications,retrieval systems, agentic workflows, prompt and tool orchestration, and evaluationapproaches

Strong architecture background across distributed systems, APIs, integration, data platforms,security, and cloud-native solutions

Experience establishing architecture standards, reference architectures, and technicalguardrails across multiple teams

Proven ability to influence senior technical and business stakeholders without direct authority

Strong written and verbal communication skills,



with the ability to tailor communication fromengineering teams to executive leadership

Demonstrated ability to balance innovation, speed, risk management, and long-termmaintainability

Preferred Qualifications

Experience working in a large enterprise, platform-oriented environment

Experience with AI governance, responsible AI, model risk, privacy, and security controls

Familiarity with cloud AI platforms and services, vector search, AI gateways, observability,and production AI operations

Experience helping engineering organizations adopt AI-powered development tools andpractices

Experience defining reusable architecture patterns for shared enterprise AI capabilities

Experience mentoring architects or leading architecture communities of practice

Master’s degree in Computer Science, Engineering, Data Science, or related field

What Success Looks Like

Business units have a solid architecture partner for AI-driven product and platformdecisions The organization has clearer standards and reusable patterns for AI solutions

Teams adopt AI technologies faster and more safely

AI initiatives are better aligned to business value, enterprise platforms, and engineeringstandards

Engineering teams are better equipped to use AI-powered PDLC capabilities effectively andresponsibly

Leadership Expectations

This role is expected to operate as a senior technical leader across organizational boundaries.The Principal Architect will influence strategy, guide major technical decisions, coach others,and help establish the technical direction for enterprise AI adoption and architecture excellence.

📌 Enterprise Architect - AI (Bengaluru)
🏢 Ciklum
📍 Bengaluru