44 Ai Systems Engineer jobs in Riyadh

Job Overview

We are seeking a high-caliber Senior System Analyst to join our team in Riyadh. You will bridge business stakeholders, project leadership, architects, and delivery teams for a large-scale digital integration program. You will translate business, operational, and regulatory needs into clear functional and technical requirements across integration services, event streaming, the developer portal, reporting, and operations. You will also coordinate interface requirements with the AI engineering workstream, while AI model design, development, and training remain outside this role. The ideal candidate is a native Arabic speaker with excellent English fluency and strong command of the full Software Development Life Cycle (SDLC).

Key Responsibilities

Requirements Engineering: Lead discovery with business and technical stakeholders to elicit, analyze, validate, and trace functional and non-functional requirements for the non-AI project scope.

System Analysis & Documentation: Produce BRDs, SRS, functional and technical specifications, user stories, acceptance criteria, interface requirements, data mappings, and analysis documents for integration services and event topics.

Process & Integration Modelling: Document current- and future-state processes, gap analyses, workflows, sequence diagrams, system interactions, APIs, integration mappings, and data flows.

Requirements Lifecycle & Governance: Maintain traceability, backlog readiness, change requests, priorities, dependencies, and alignment with security, data, service-level, and technical governance requirements.

Validation & Acceptance Support: Define acceptance criteria and test scenarios; collaborate with QA on integration, performance, and UAT activities; and verify delivered services against approved requirements.

Cross-Functional Delivery & AI Coordination: Work with integration, portal, event-streaming, operations, cybersecurity, data-governance, and AI teams; define AI-related interfaces and data requirements without owning AI model design, development, or training; and support handover and knowledge transfer.

Qualifications

Education: Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related technical field.

Experience: 5+ years of experience in Systems Analysis or Business Systems Analysis, including enterprise integration or digital transformation projects.

Process & Tool Proficiency:

Strong expertise in requirements engineering, stakeholder facilitation, functional and non-functional analysis, traceability, and change management.

Hands-on experience with requirements, backlog, and collaboration tools such as Jira, Azure DevOps, Confluence, and MS Visio (or similar).

Deep understanding of SDLC and Agile/Scrum delivery, including documentation, testing, UAT, and release-readiness activities.

Data & Technical Skills:

Strong working knowledge of APIs, web services, system interfaces, data mapping, integration patterns, and event-driven systems.

Practical knowledge of databases, SQL, JSON, XML, interface specifications, and secure system-integration concepts.

Preferred exposure to IBM App Connect, API Connect, DataPower, MQ, Kafka/Confluent, developer portals, Instana, or Kibana.

Communication & Domain Knowledge:

Native Arabic speaker with excellent English fluency (written and spoken).

Ability to explain complex system behaviour, dependencies, and technical requirements clearly to technical and non-technical stakeholders.

Familiarity with KSA digital transformation, cybersecurity, data-governance, and regulatory environments is a strong plus.

Professional Attributes:

Strong analytical and problem-solving skills to evaluate complex requirements, identify gaps, and support viable system solutions.

Proven ability to work across business, architecture, development, QA, operations, security, data, and AI workstreams.

High attention to detail, clear ownership of requirements, and commitment to meeting deadlines in a fast-paced environment.