Principal Architect, AI Solutions

The role combines strategic influence with hands‑on architectural leadership, ensuring responsible AI adoption across the organization. You will evaluate emerging AI technologies and guide their integration into real-world production environments. This is a highly visible role that directly impacts platform modernization, engineering excellence, and AI-driven transformation.\n\nAccountabilities\n\n- Lead architecture design for strategic AI initiatives across enterprise products, platforms, and shared capabilities.\n\n- Collaborate with business leaders, product teams, and engineering groups to define scalable, secure, and high‑performance AI solution architectures.\n\n- Establish and evolve enterprise architecture standards, reference models, and guardrails for AI systems and AI-enabled development practices.\n\n- Evaluate emerging AI technologies and define adoption strategies for tools, frameworks, and platforms.\n\n- Provide architectural guidance for LLM‑based applications, agentic workflows, AI orchestration, evaluation frameworks, and observability systems.\n\n- Ensure AI solutions comply with enterprise requirements for security, privacy, compliance, resilience, and maintainability.\n\n- Support engineering teams in adopting AI‑powered software development practices across the product lifecycle.\n\n- Lead architecture reviews, contribute to technical strategy discussions, and influence investment decisions in AI and platform modernization.\n\n- Mentor senior engineers and technical leaders while contributing to the overall architecture maturity of the organization.\n\nRequirements\n\n- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent experience.\n\n- 12+ years of experience in software engineering, architecture, or technology leadership roles.\n\n- Proven experience designing and delivering enterprise‑scale AI solutions in production environments.\n\n- Deep expertise in modern AI architecture patterns, including LLM applications, retrieval‑augmented systems, and agent‑based workflows.\n\n- Strong background in distributed systems, APIs, cloud platforms, data engineering, integration, and security architecture.\n\n- Experience defining enterprise architecture standards, reusable patterns, and governance frameworks across multiple teams.\n\n- Strong ability to influence senior stakeholders and drive alignment without direct authority.\n\n- Excellent communication skills, able to adapt messaging from technical teams to executive leadership.\n\n- Strong balance of innovation mindset, risk awareness, and long‑term architectural thinking.\n\n- Experience in AI governance, responsible AI, model risk, and secure AI deployment practices (preferred).\n\n- Familiarity with cloud AI platforms, vector databases, observability tools, and AI operations (preferred).\n\n- Experience mentoring architects or leading architecture communities (preferred).\n\nBenefits\n\n- Competitive compensation aligned with senior architecture leadership roles.\n\n- Fully remote work flexibility within India.\n\n- Opportunity to shape enterprise‑scale AI strategy and architecture direction.\n\n- Exposure to cutting‑edge AI technologies and large‑scale platform modernization initiatives.\n\n- Strong learning and career development opportunities in AI, architecture, and leadership.\n\n- Inclusive and collaborative global work environment.\n\n- Participation in high‑impact, strategic decision‑making at enterprise level.\n\n#J-18808-Ljbffr