Data & AI role Base salary: 25-30k SAR/month
Role Overview
This hybrid Presales and Delivery role focuses on designing and implementing Data and AI solutions including Generative AI Machine Learning and Data Platform modernizations. The candidate will work closely with clients to identify AI and data opportunities design end-to-end architectures prepare proposals and ensure successful delivery from concept to deployment.
Key Responsibilities
Engage with clients to understand business challenges and translate them into actionable AI Gen AI and data platform use cases.
Design and present solution architectures data blueprints and AI system designs covering data ingestion processing storage and analytics layers.
Prepare technical proposals scopes of work effort estimates and cost sheets for RFPs and client engagements.
Lead and support RFP responses demos and proofs of concept (PoCs) in AI Gen AI and data analytics.
Oversee project delivery from discovery and architecture design to implementation testing deployment and handover.
Collaborate with data engineers cloud architects and ML engineers to ensure scalable secure and high-performing data and AI solutions.
Leverage knowledge of cloud data and AI platforms (Google Cloud Azure AWS) and modern data stacks for building data lakes data warehouses and real-time pipelines.
Contribute to building Gen AI use cases using LLMs RAG architectures vector databases embeddings and prompt engineering.
Profile
712 years of experience in Data and AI solutioning and delivery including presales involvement.
Strong experience in Python and SQL with exposure to machine learning LLMs and Generative AI applications.
Proven ability to design and deliver data architectures including data lakes data warehouses and ETL/ELT pipelines.
Experience preparing technical proposals estimates and project plans for data and AI initiatives.
Strong communication skills to interact with both business stakeholders and technical teams.
Experience delivering end-to-end data and AI projects from data ingestion and feature engineering to model deployment and API integration.
IT Services and IT Consulting