AI Native Software Engineer📣 إعلان

About the Role

Accenture Middle East is seeking an AI Native Software Engineer to join our team in Riyadh, Riyadh. This full-time role focuses on partnering with enterprise clients to develop next-generation, agent-powered workflows designed for real-world scalability. The successful candidate will embed deeply with customers, moving AI projects from experimentation into operational reality.

Role Overview

This position is for an engineer with a strong foundation in building cloud-native solutions and practical experience in designing and deploying agentic systems, particularly within enterprise environments. You will be instrumental in shaping how enterprises adopt AI-native engineering, either by leading complex agentic solutions and developing engineering talent, or by owning critical technical areas end-to-end as a senior individual contributor. The role involves critical thinking and delivering concrete results by designing, building, and running AI agents that augment workflows and scale across modern infrastructure.

Key Responsibilities

• Design and build enterprise-ready AI agents, incorporating retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.
• Implement resilient, testable, and maintainable agentic workflows that allow for rapid iteration.
• Develop and extend abstraction layers across various AI providers (*, Anthropic, Google, OpenAI) to ensure seamless integration and multi-provider enablement.
• Contribute to shared libraries, SDKs, and patterns for reuse across client engagements.
• Leverage containerization (Kubernetes, Docker), microservices, serverless, event-driven architectures, CI/CD, and observability stacks to deliver scalable AI-native systems.
• Own the deployment, monitoring, and troubleshooting of services in production environments.
• Tailor and deploy agentic applications across diverse industry verticals (*, finance, healthcare, retail), adapting to domain-specific processes and constraints.
• Collaborate closely with client Subject Matter Experts (SMEs) to translate business workflows into effective agentic solutions.
• Participate in and/or lead design workshops, Proofs of Concept (POCs), and code-with sessions to develop data-driven agent workflows with stakeholders.
• Communicate technical trade-offs, risks, and recommendations clearly to both technical and non-technical audiences.
• Define and utilize key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost-effectiveness.
• Iterate rapidly based on data, feedback, and evolving requirements.
• Craft reusable patterns, documentation, and best practices that influence internal assets and client roadmaps.
• Contribute to internal communities of practice focused on AI-native and agentic engineering.

Qualifications and Experience

• Minimum of 3 years of engineering experience with cloud-native systems (APIs, microservices, containerization, serverless).
• Minimum of 1 year of hands-on experience designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production or near-production environments.
• Minimum of 1 year of experience with modern AI platforms (*, OpenAI, Claude, Vertex AI, or open-source models), including building or using abstraction layers for multi-provider pipelines.
• Minimum of 3 years of strong Python, Java, or equivalent experience building 12-factor applications and Infrastructure as Code (Terraform, Helm).
• Minimum of 3 years of experience in client-facing communication and collaboration, including leading technical discussions, workshops, or delivery sessions in ambiguous contexts.
• Bachelor's degree in Computer Science, Engineering, or an equivalent field, OR equivalent work experience (minimum 12 years). (If Associate’s Degree, must have minimum 6 years work experience).

Preferred Skills and Attributes

• Relevant AI certifications or agentic tooling experience.
• Experience as an Agentic / AI Engineer in an enterprise environment.
• Proficiency in building multi-agent orchestrations using frameworks like LangGraph, Crew AI, Claude SDK, or OpenAI SDK.
• A GitHub repository showcasing created agents or plugins.
• Experience defining or working with enterprise-grade architectures for compound AI systems, orchestration frameworks, or agent registry/stream-based architectures.
• Understanding of the AI-native paradigm, blending cloud-native principles with generative model architectures for optimized performance, modularity, and efficiency.
• Demonstrated ability to deliver solutions across multiple industries (*, finance, healthcare) by tailoring agentic workflows to specific industry needs.
• Proven track record of driving execution across multiple workstreams, ensuring quality, delivery, and alignment with client outcomes.

Work Environment and Travel

This is a full-time position based in Riyadh, Riyadh. Travel may be required for this role, with the amount varying from 25% to 75% depending on business needs and client requirements.