Principal Architect, AI Solutions
New
IndiaFull-TimePrincipal
Salary not disclosed
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Job Details
- Experience
- 12+ years
- Required Skills
- LLMDistributed Systems
Requirements
- 12+ years of experience in software engineering, architecture, or technology leadership roles.
- Proven experience designing and scaling enterprise-grade AI solutions in production environments.
- Strong expertise in modern AI architectures including LLM-based systems, retrieval-augmented generation, prompt engineering, tool orchestration, and agentic workflows.
- Deep background in distributed systems, APIs, cloud-native architectures, data platforms, integration, and security design.
- Experience defining enterprise architecture standards, reusable patterns, and technical governance frameworks.
- Strong stakeholder management skills with the ability to influence senior technical and business leaders without direct authority.
- Excellent communication skills, with the ability to translate complex technical concepts for both engineering and executive audiences.
- Experience balancing innovation, risk management, scalability, and long-term maintainability in architecture decisions.
- Exposure to AI governance, responsible AI practices, and model risk considerations is highly valued.
Responsibilities
- Lead the architecture design and governance of enterprise-wide AI initiatives across products, platforms, and shared capabilities.
- Partner with business, product, and engineering stakeholders to design scalable, secure, and production-ready AI solution architectures.
- Define and maintain architecture standards, reference patterns, and guardrails for AI systems and AI-enabled development practices.
- Evaluate emerging AI technologies, frameworks, and platforms, and guide adoption decisions across the organization.
- Provide architectural leadership across AI orchestration, agentic workflows, LLM applications, retrieval systems, evaluation, and observability.
- Ensure alignment of AI solutions with enterprise requirements including security, privacy, compliance, resilience, and maintainability.
- Mentor architects and senior engineers while contributing to technical strategy, architecture reviews, and roadmap decisions.
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