Ai Technology & Data Lead

Job Summary

Black & Grey HR is recruiting for a well-established retail group in Saudi Arabia looking to hire a skilled AI Technology & Data Lead. The role will drive the technical vision architecture data foundation and engineering standards across the organizations AI portfolio with hands-on involvement in solution design integration data architecture and complex technical problem-solving.

Key Responsibilities

Technology & Solution Architecture

- Define the technical roadmap and architecture for AI data and intelligent automation initiatives.

- Translate business requirements into scalable technical architectures integration solutions and delivery plans.

- Establish engineering standards and reusable architectures for APIs data pipelines cloud services AI/ML solutions security testing and deployment.

- Review solution designs code quality infrastructure decisions and production-readiness requirements.

Data & AI Enablement

- Define data architecture covering ingestion transformation storage data modelling governance quality and access.

- Enable enterprise data for AI/ML GenAI forecasting recommendation optimization and automation use cases.

- Guide integration of AI solutions with enterprise platforms including ERP data platforms e-commerce CRM loyalty and operational systems.

Technical Delivery & Operations

- Provide technical leadership across the complete AI lifecycle from discovery and design through deployment and ongoing operations.

- Act as the senior technical escalation point for architecture integration cloud data performance and production issues.

- Work with technology vendors and implementation partners to review technical designs estimates dependencies and delivery quality.

- Drive requirements for monitoring observability documentation technical handover and production support.

Technical Leadership

- Mentor engineers data professionals and delivery teams on AI data cloud software engineering architecture and MLOps practices.

- Collaborate with business IT security enterprise architecture and senior stakeholders to ensure effective technical decision-making.

- Identify technical debt architectural risks and opportunities for standardisation and reuse across the AI portfolio.

Requirements

- Bachelors or Masters degree in Computer Science Software Engineering Data Engineering AI or a related technical discipline.
- 8 years of relevant technology experience including 3 years in technical leadership architecture or engineering leadership.
- Strong hands-on experience across AI/ML engineering data engineering software architecture APIs cloud and enterprise integration.
- Proven experience designing and productionizing AI/ML or GenAI solutions in enterprise environments.
- Strong proficiency in Python and SQL with the ability to review and contribute to technical solutions.
- Strong understanding of data platforms data modelling ETL/ELT data governance and data quality.
- Experience with cloud platforms; AWS is preferred.
- Experience with Docker/Kubernetes CI/CD Infrastructure-as-Code monitoring DevOps/MLOps and security practices.
- Strong understanding of system design APIs microservices event-driven architecture and enterprise integration.
- Proven experience working across multiple technical teams vendors and business stakeholders.
- Experience in retail grocery e-commerce supply chain pricing personalization or customer analytics is an advantage.
- Relevant AI cloud data or architecture certifications are an advantage.

Benefits

- Competitive Salary Benefits Package

Required Skills:

- Bachelors or Masters degree in Computer Science Software Engineering Data Engineering AI or a related technical discipline. - 8 years of relevant technology experience including 3 years in technical leadership architecture or engineering leadership. - Strong hands-on experience across AI/ML engineering data engineering software architecture APIs cloud and enterprise integration. - Proven experience designing and productionizing AI/ML or GenAI solutions in enterprise environments. - Strong proficiency in Python and SQL with the ability to review and contribute to technical solutions. - Strong understanding of data platforms data modelling ETL/ELT data governance and data quality. - Experience with cloud platforms; AWS is preferred. - Experience with Docker/Kubernetes CI/CD Infrastructure-as-Code monitoring DevOps/MLOps and security practices. - Strong understanding of system design APIs microservices event-driven architecture and enterprise integration. - Proven experience working across multiple technical teams vendors and business stakeholders. - Experience in retail grocery e-commerce supply chain pricing personalization or customer analytics is an advantage. - Relevant AI cloud data or architecture certifications are an advantage.

Apply Now