Roles and 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.

Desired Candidate Profile





- 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.
- 1015+ years of overall IT experience.
- 5+ years in AI/ML/Data Engineering architecture roles.

📌 Dataiku AI Architect/Engineer (India)
🏢 CONSIGN SPACE SOLUTIONS
📍 India