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Contract TypeContract TypeFull-time
Workplace typeWorkplace typeOn-site
LocationLocationRiyadh

About the Role

Accenture Middle East is seeking an AI Native Software Engineer to join a services company focused on AI-native innovation. The company partners with enterprise clients to develop agent-powered workflows designed for scalability in real-world applications. Engineers work closely with clients to move projects from experimentation to operational reality. This role involves building cloud-native solutions and deploying agentic systems, particularly within enterprise environments. The engineer will be a critical thinker, capable of delivering results by designing, building, and running AI agents that enhance workflows and scale across modern infrastructure. The position offers opportunities to shape enterprise AI adoption, either by leading agentic solutions and developing talent, or by taking ownership of critical technical areas as an individual contributor.

The role requires direct partnership with client stakeholders, acting as both a technologist and an advisor. Collaboration will involve defining use cases, rapid prototyping, and deploying robust, secure, and operational agentic workflows within complex enterprise domains. This often includes developing new platforms and systems that integrate with existing client environments and partner ecosystems.

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 AI providers (*, Anthropic, Google, OpenAI) to facilitate seamless integration and multi-provider support.
  • Contribute to shared libraries, SDKs, and patterns for reuse across client projects.
  • Leverage containerization (Kubernetes, Docker), microservices, serverless, event-driven architectures, CI/CD, and observability stacks for scalable AI-native systems.
  • Take ownership of deployment, monitoring, and troubleshooting for services in production environments.
  • Tailor and deploy agentic applications across various industries (*, finance, healthcare, retail), adapting to domain-specific processes and constraints.
  • Collaborate with client subject matter experts to translate business workflows into agentic solutions.
  • Participate in and lead design workshops, Proofs of Concept (POCs), and code-with sessions to shape data-driven agent workflows with stakeholders, fostering trust and adoption.
  • Communicate trade-offs, risks, and recommendations clearly 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

  • Minimum of 3 years of engineering experience with cloud-native systems, including APIs, microservices, containerization, and serverless architectures.
  • 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 such as OpenAI, Claude, Vertex AI, or open-source models, including building or using abstraction layers for multi-provider pipelines.
  • Minimum of 3 years of strong experience in Python, Java, or equivalent languages for building 12-factor applications, along with Infrastructure as Code (IaC) using tools like Terraform or Helm.
  • Minimum of 3 years of experience in client-facing communication and collaboration, including leading technical discussions, workshops, or delivery sessions in ambiguous situations.
  • A Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical work experience (minimum 12 years). An Associate's degree requires a minimum of 6 years of work experience.

Required Skills

  • Proficiency in cloud-native solutions.
  • Experience with agentic systems and AI agents.
  • Understanding of core agent capabilities including retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and lifecycle observability.
  • Ability to develop abstraction layers across AI providers.
  • Experience with containerization technologies such as Kubernetes and Docker.
  • Knowledge of microservices, serverless, and event-driven architectures.
  • Familiarity with CI/CD pipelines and observability stacks.
  • Programming languages: Python, Java, or equivalent.
  • Adherence to 12-factor application development principles.
  • Experience with Infrastructure as Code (IaC) using tools like Terraform and Helm.
  • Strong client-facing communication and collaboration skills.
  • Capability to lead technical discussions, workshops, and delivery sessions in ambiguous environments.
  • Experience with modern AI platforms (OpenAI, Claude, Vertex AI) and abstraction layers for multi-provider pipelines.
  • Experience with agentic tooling and frameworks, including multi-agent orchestrations using Lang-graph, Crew AI, Claude SDK, or OpenAI SDK.
  • Familiarity with enterprise-grade architectures for compound AI systems, orchestration frameworks, or agent registry/stream-based architectures.
  • Understanding of the AI-native paradigm, which blends 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, delivery, and alignment with client outcomes.

Work Environment and Location

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

Requirements

  • Requires 2-5 Years experience

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