AI Architect

About the role

The AI Architect will design and shape the technical foundation of our Analytics & AI practice, working on high‑impact client engagements across multiple industries. You will sit at the intersection of data engineering, analytics, data science, and AI, defining standards, frameworks, and architectures for our delivery teams.

Key responsibilities

• Design end‑to‑end data architectures, including data lakes, lakehouses, warehouses, and streaming pipelines.
• Define standards for data modeling, storage, ingestion, and transformation across client projects.
• Architect MLOps and AI deployment infrastructure such as model registries, CI/CD pipelines for ML, and monitoring solutions.
• Lead technical decisions on cloud platforms (Azure, AWS, GCP) and open‑source tooling.
• Establish best practices and reusable frameworks for data engineers, analysts, and data scientists.
• Mentor cross‑functional teams and bridge gaps between data analysts, engineers, and AI/ML engineers.
• Conduct architecture workshops, translate business requirements into scalable blueprints, and present solutions to technical and executive audiences.
• Support pre‑sales activities with technical scoping and solution design.

Required profile

• Bachelor’s degree in Computer Science, Data Engineering, Software Engineering, Applied Mathematics, or a related field.
• Full professional proficiency in English and at least one additional language.
• 6+ years of hands‑on experience in data architecture or a closely related discipline.
• Proven track record in a consulting or multi‑client services environment.

Required skills

• Databricks
• Snowflake
• BigQuery
• Azure Synapse
• Amazon Redshift
• SQL
• Microsoft Azure
• Amazon Web Services (AWS)
• Google Cloud Platform (GCP)
• MLOps
• CI/CD for machine learning
• Model registries and monitoring tools
• Open‑source data engineering tooling