AI Native Software Engineer📣 Job Ad
| Contract Type | Full-time | |
| Workplace type | On-site | |
| Location | Riyadh |
About the Role
Accenture Middle East is seeking an AI Native Software Engineer to join its team in Riyadh, Saudi Arabia. The role focuses on partnering with enterprise clients to develop and implement next-generation, agent-powered workflows designed for scalability. As an AI Native Engineer, you will work closely with clients to transition projects from experimentation to operational reality, shaping how enterprises adopt AI-native engineering practices. This can involve leading complex agentic solutions, developing engineering talent, or contributing as a senior individual contributor in critical technical areas.
In this position, you will collaborate directly with client stakeholders, serving as both a technical expert and a trusted advisor. Your responsibilities will include defining use cases, rapid prototyping, and deploying robust, secure, and operational agentic workflows within complex enterprise environments. This often entails building new platforms and systems that integrate with existing client infrastructure and partner ecosystems.
Key Responsibilities
- Design and build enterprise-ready AI agents that incorporate retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.
- Implement resilient, testable, and maintainable agentic workflows capable of rapid iteration.
- Develop and extend abstraction layers across AI providers (*, Anthropic, Google, OpenAI) to facilitate seamless integration and multi-provider support.
- Contribute to shared libraries, SDKs, and patterns for reuse across clients.
- Utilize containerization (Kubernetes, Docker), microservices, serverless, event-driven architectures, CI/CD, and observability stacks for scalable AI-native systems.
- Manage the deployment, monitoring, and troubleshooting of services in production environments.
- Tailor and deploy agentic applications across various industries (*, finance, healthcare, retail), adapting to domain-specific requirements.
- Collaborate with client subject matter experts to translate business workflows into effective agentic solutions.
- Participate in and lead design workshops, Proofs of Concept (POCs), and code-with sessions to shape data-driven agent workflows with stakeholders.
- Communicate technical trade-offs, risks, and recommendations to both technical and non-technical audiences.
- Define and utilize key metrics, test harnesses, and evaluation plans to assess agent accuracy, latency, safety, and cost-effectiveness.
- Iterate rapidly based on data, feedback, and evolving requirements.
- Develop reusable patterns, documentation, and best practices to influence internal assets and client roadmaps.
- Contribute to internal communities of practice focused on AI-native and agentic engineering.
Qualifications and Requirements
- A minimum of 3 years of engineering experience with cloud-native systems, including APIs, microservices, containerization, and serverless architectures.
- A 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.
- A minimum of 1 year of experience with modern AI platforms such as OpenAI, Claude, Vertex AI, or open-source models, including building or using abstraction layers for multi-provider pipelines.
- A minimum of 3 years of strong experience in Python, Java, or equivalent languages for building 12-factor applications, coupled with Infrastructure as Code (IaC) experience using tools like Terraform or Helm.
- A minimum of 3 years of experience in client-facing communication and collaboration, including leading technical discussions, workshops, or delivery sessions in ambiguous environments.
- A Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical work experience (minimum 12 years). If an Associate's Degree is held, a minimum of 6 years of relevant work experience is required.
Required Skills
- Cloud-native solutions
- Agentic systems and AI agents
- Core agent capabilities including Retrieval, Orchestration, Policy-based routing, Tool invocation, Evaluation harnesses, and Lifecycle observability
- Abstraction layers across AI providers
- Containerization technologies such as Kubernetes and Docker
- Microservices and Serverless architectures
- Event-driven architectures
- CI/CD pipelines and Observability stacks
- Proficiency in Python and Java
- Experience with 12-factor applications
- Infrastructure as Code (IaC) with tools like Terraform and Helm
- Client-facing communication and collaboration
- Leading technical discussions, workshops, and delivery sessions
- Navigating ambiguity in project delivery
- Experience with multi-agent orchestrations using frameworks like Lang-graph, Crew AI, Claude SDK, or Open AI SDK
- Experience building agents or plugins
- Understanding of enterprise-grade architectures for compound AI systems, orchestration frameworks, or agent registry/stream-based architectures
- Familiarity with the AI-native paradigm, blending cloud-native principles with generative model architectures for optimized performance, modularity, and efficiency
- Experience delivering solutions across multiple industries by tailoring agentic workflows to specific needs
- Proven ability to drive execution across multiple workstreams, ensuring quality, timely delivery, and alignment with client outcomes
Work Environment and Additional Information
This is a full-time position based in Riyadh, Saudi Arabia. Travel may be required for this role, varying from 25% to 75% depending on business needs and client requirements. Relevant AI certifications or agentic tooling experience are considered a plus.
Requirements
- Requires +10 Years experience
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