Presales Engineer (Data & AI)
Core
Technical authority in the sales cycle who turns client business problems into architecture, work breakdowns, staffing plans, and timelines for the delivery team.
Role type
Senior Presales Engineer (Data & AI)
Builds
Data & AI solutions including GenAI agents, forecasting models, digital twins, and data estates for enterprise clients.
Domain
Enterprise AI, Data Engineering, Machine Learning, Cloud Infrastructure
Deliverable
production ML models
Required skills
Data engineering (SQL, Python, PySpark, ETL/ELT, Warehouses/Lakehouses), Data science & ML (EDA, feature engineering, explainability, real-world project delivery), AI engineering (GenAI, RAG, agentic workflows), Cloud platforms (Azure, AWS, GCP), Estimation (WBS, three-point estimation, staffing plans), Architecture design
Preferred skills
Kubernetes, MLOps tooling, Certifications (Azure Solutions Architect, Databricks, Snowflake, Microsoft Fabric), Public-sector tender experience
Technologies
Azure Data Factory, Databricks, Snowflake, Fabric, PySpark, Python, Git, Docker, Kubernetes
Responsibilities
Lead implementation effort estimates and commercial offers for Data & AI proposals, Build work breakdowns across ingestion, pipelines, modelling, and deployment, Run discovery workshops with client executives and technical teams, Write technical sections of proposals and RFP responses, Build quick PoCs and demos, Maintain estimation models and reference architectures
Seniority
Senior, hands-on IC