AI Solution Architect

About the role

We are looking for an experienced AI Solution Architect to own the architecture of AI‑native applications, ensuring seamless integration across AI capabilities, data, and infrastructure.

Key responsibilities

• Design end‑to‑end architecture for AI‑native applications, covering integration, data flow, security and cost.
• Define AI APIs and services and establish how AI capabilities integrate with applications.
• Lead architecture reviews, identify technical, integration, scalability and modernization risks.
• Architect production ML pipelines, model serving, retraining and high‑throughput systems.
• Define ML engineering standards for testing, versioning and CI/CD.
• Drive legacy‑to‑AI‑native modernization initiatives and partner with QA/AI Assurance teams.

Required profile

• 8+ years in production system architecture, including 3+ years in AI‑native application architecture.
• 5+ years of production‑scale ML engineering experience.
• Strong stakeholder management and client‑facing communication skills.
• Proven leadership, mentoring and technical decision‑making abilities.

Required skills

• Azure AI Foundry, AWS Bedrock, Google Vertex AI.
• Azure ML, AWS SageMaker, Vertex AI Prediction.
• APIs, microservices, event‑driven architecture, API gateways, service mesh.
• LangChain, Hugging Face, knowledge graphs, semantic layers (preferred).
• Deep understanding of AI latency, non‑determinism, scalability and cost optimization.