Own the architecture of AI-native applications, ensuring seamless integration across AI capabilities, applications, data, and infrastructure. The role requires 10+ years of experience in architecting production systems, with robust expertise in AI, cloud platforms, ML engineering, and enterprise modernization.

Responsibilities:

- Design end-to-end architecture for AI-native applications, including integration, data flow, security, and cost.
- Design AI APIs and services and define how AI capabilities integrate with applications.
- Establish architecture standards, reference patterns, and best practices.
- Lead architecture reviews and identify technical, integration, scalability, and modernization risks.
- Architect production ML pipelines, model serving, retraining, and high-throughput systems.
- Define ML engineering standards covering testing, versioning, and CI/CD.
- Lead root-cause analysis for critical production ML issues.
- Drive legacy-to-AI-native modernization initiatives.
- Partner with QA/AI Assurance teams to ensure architectural testability.
- Mentor AI Engineers and Developers on architecture and design standards.




- Present and defend architecture decisions to client technical leadership.
- Balance technical best practices with project timelines and delivery requirements.

Qualifications:

- 10+ years of experience in production system architecture, including 3+ years in AI-native application architecture.
- 5+ years of production-scale ML engineering experience.
- Strong expertise in Azure AI Foundry, AWS Bedrock, and Google Vertex AI.
- Experience with Azure ML, AWS SageMaker, and Vertex AI Prediction.
- Strong knowledge of APIs, microservices, event-driven architecture, API gateways, service mesh, and secure integrations.
- Experience with LangChain, Hugging Face, knowledge graphs, and semantic layers is preferred.
- Deep understanding of AI architecture challenges including latency, non-determinism, scalability, and cost optimization.
- Experience in legacy modernization and AI-native transformation.
- Strong architecture documentation and ADR writing skills.
- Excellent stakeholder management and client-facing communication skills.
- Strong leadership, mentoring, and technical decision-making abilities.

📌 AI Solution Architect (India)
🏢 Systems
📍 India