Key Responsibilities :

- Design end-to-end AI/ML and Generative AI architectures using Dataiku DSS.

- Define enterprise AI patterns, reusable frameworks, and solution blueprints.

- Lead architecture reviews and ensure scalability, reliability, and maintainability of AI platforms.

- Architect and manage Dataiku ecosystem components including Design, Automation, API Deployer, Govern, and Fleet Manager nodes.

- Design RAG-based solutions leveraging enterprise knowledge sources.

- Integrate LLMs and GenAI services into Dataiku workflows.

- Build AI agents, automation workflows, and AI-powered applications.

- Define AI governance, security, compliance, and responsible AI standards.

- Collaborate with business stakeholders, architects, and delivery teams.

Required Skills :

- Deep hands-on experience with Dataiku DSS.

- Experience with Scenarios, Dashboards, Applications, Plugins, Macros, and API deployment.

- Knowledge of Dataiku Govern, Model Lifecycle Management, and platform administration.

- Experience designing production-scale Dataiku architectures.

- Python, SQL, Spark.

- Data modeling, ETL/ELT, and workflow orchestration.

- Cloud platforms (AWS).

- Container technologies (Docker, Kubernetes).

- REST APIs and enterprise integrations.

Experience :

- 10-15 years of overall IT experience.

- 5 years in AI/ML/Data Engineering architecture roles.

- 3 years of hands-on Dataiku architecture and platform management experience.