Technical Architect - Artificial Intelligence

• Lead end-to-end AI architecture (data → models → deployment → integration).

• Provide technical leadership and mentorship to AI/ML teams.

• Define architecture standards, best practices, and technical decisions.

• Translate business requirements into AI solutions; act as business–tech liaison.

• Design for scalability, performance, reliability, and maintainability.

• Ensure security, privacy, ethical AI, and regulatory compliance.

• Oversee AI integration with existing systems and data flows.

• Define and govern deployment strategies (CI/CD, MLOps, production monitoring).

• Create and maintain architecture documentation.

• Evaluate deployed solutions and drive continuous improvement and innovation.

Requirements

• Strong AI/ML lifecycle knowledge and hands-on framework experience.
• Cloud-based AI deployment experience (AWS/Azure/GCP).
• Data engineering, pipelines, and ETL experience.
• DevOps/MLOps: CI/CD, Docker, Kubernetes, version control.
• Strong stakeholder communication and problem-solving skills.
• Knowledge of AI ethics, governance, and bias mitigation.
• Familiarity with NLP, CV, or RL; Agile experience.