Senior Engineer - AI Delivery

Elm Company; Riyadh; Presencial; SAR 180.000 - 300.000; Jornada completa

Descripción de la vacante

Elm Company in Riyadh is seeking a Senior Engineer to support the engineering and delivery of AI-enabled solutions by developing application components, operationalizing models, and implementing data pipelines. The role collaborates with Applied Research and AI Businesses to design, test, deploy, and resolve escalated issues across technology teams.

You will translate requirements into technical components, integrate services and APIs, and contribute to reliable deployments and production

Formación

• Bachelor’s degree in CS, engineering, AI, or related field as listed.
• 2–4 years of experience in software engineering, AI solution development, or data pipelines.
• Relevant certifications in software development, cloud platforms, or ML engineering are advantageous.

Responsabilidades

• AI Solution Engineering: translate approved requirements into technical components with research and business teams.
• Data Pipeline Engineering: build and maintain data ingestion and transformation pipelines with validation.
• Deployment & Release Support: prepare deployment configurations and assist in rollout activities.

Conocimientos

AI Solution Eng

API Development

Data Pipelines

Model Deployment

Testing & QA

Technical Design

Educación

Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, AI, or related field

Herramientas

Cloud Platforms

ML Frameworks

Data Integration

Descripción del empleo

ROLE PURPOSE

The aim is to state the overall significance of the job from the organization’s perspective.
The role exists to support the engineering and delivery of AI-enabled solutions by developing application components, operationalizing validated models, and implementing data pipelines and integrations. The role contributes to technical design, testing, deployment, and resolution of escalated issues in collaboration with Applied Research, AI Businesses, and relevant technology teams.

Overview
Job Description
Job Title
Senior Engineer
Job Code
744856
Grade
I2
Group
Division
Research & AI
Department
AI Delivery
Unit
ROLE PURPOSE
The aim is to state the overall significance of the job from the organization’s perspective.
The role exists to support the engineering and delivery of AI-enabled solutions by developing application components, operationalizing validated models, and implementing data pipelines and integrations. The role contributes to technical design, testing, deployment, and resolution of escalated issues in collaboration with Applied Research, AI Businesses, and relevant technology teams.
Key Accountabilities & Activities
This section describes the principal outputs required from the job.
Key Accountabilities
Key Activities

• AI Solution Engineering
• Translate approved business requirements into technical components for AI-enabled solutions in coordination with business and research teams.
• Develop and integrate application services, APIs, and AI components in line with agreed solution designs.
• Implement assigned features and resolve technical issues against delivery plans and acceptance criteria.
• Model Operationalization & Integration
• Adapt validated models and research outputs for deployment within Elm’s products, platforms, and services.
• Develop model-serving interfaces and integrate inference workflows with application components.
• Validate model integration, input and output handling, and runtime behavior with research and engineering teams.
• Data Pipeline Engineering
• Develop and maintain data ingestion and transformation pipelines for assigned AI use cases.
• Implement data validation and quality checks to support reliable model inputs and processing.
• Troubleshoot pipeline failures and coordinate source-data and integration dependencies with relevant teams.
• Technical Design & Documentation
• Contribute to technical designs and component specifications aligned with approved architecture and engineering standards.
• Document interfaces, dependencies, configurations, and design decisions for assigned solution components.
• Participate in design and code reviews and implement agreed improvements.
• Testing & Solution Validation
• Develop and execute unit, integration, and performance tests for assigned AI solution components.
• Validate functionality and technical performance against approved requirements and record identified defects.
• Coordinate defect resolution and support user acceptance testing and production-readiness activities.
• Deployment & Release Support
• Prepare deployment configurations and support automated build, testing, and release workflows.
• Coordinate assigned deployment activities, environment dependencies, and rollback arrangements with relevant teams.
• Verify functionality after release and maintain deployment and operational handover documentation.
• Technical Support & Reliability
• Provide technical investigation and resolution support for escalated issues affecting assigned AI components.
• Analyze logs and service metrics to identify causes of failures or performance degradation.
• Implement approved fixes and contribute to specialist Level 3 support with relevant engineering teams.
• Delivery Coordination & Engineering Improvement
• Track assigned deliverables, technical risks, and dependencies and communicate progress to relevant stakeholders.
• Collaborate with AI Businesses and Applied Research to clarify requirements and address delivery constraints.
• Recommend improvements to reusable components, development practices, and engineering efficiency.
• Policies, Processes & Procedures
• Follow all relevant departmental policies, processes, standard operating procedures, and instructions so that work is carried out in a controlled and consistent manner.
• Comply with all relevant safety, quality, and environmental management policies, procedures, and controls to ensure a healthy and safe work environment.
• Information Security
• Comply with all relevant information security practices and standards to ensure data integrity and confidentiality.

JOB SPECIFICATIONS
Academic And Professional Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, Artificial Intelligence, or a related field.
• Relevant certifications in software development, cloud platforms, or machine learning engineering are considered an advantage.

Years And Nature Of Experience

• 2–4 years of relevant experience in software engineering, AI solution development, model deployment, or data pipeline engineering.