Position: Data & AI Architect
About the Role
We are looking for a Data & AI Architect to lead the design and architecture of modern, scalable Data, AI, and GenAI solutions for enterprise clients. The role will focus on translating business requirements into robust technology architectures across Azure, Databricks, Lakehouse, AI/ML, and Generative AI.
The architect will work closely with business stakeholders and cross-functional engineering teams to define solution architecture, drive PoCs and architecture workshops, and ensure solutions meet requirements for security, governance, scalability, performance, and cost optimization.
Key Responsibilities
- Design end-to-end Data & AI architecture aligned with business objectives.
- Architect modern data platforms using Azure, Databricks, ADLS, Synapse/Fabric, and ADF.
- Design AI/ML and GenAI solutions, including LLM, RAG, vector databases, and Agentic AI architectures.
- Define data governance, security, scalability, performance, and cost optimization standards.
- Lead architecture workshops, PoCs, solution design, and technical presentations.
- Collaborate with Data Engineering, AI/ML, Cloud, Security, and Application teams.
Must Have
- 10+ years in Data Architecture / Data Engineering / AI Architecture.
- Strong Azure + Databricks experience.
- Strong knowledge of Data Lakehouse, data modeling, ETL/ELT, and data governance.
- Experience with GenAI, LLMs, RAG, AI agents, and enterprise AI solutions.
- Strong stakeholder management and architecture leadership skills.
