Accenture

Accenture

Posted via Workday

AI Native Software Engineer Senior Analyst

Posted Sep 21, 2026

Role at a glance

Job function
Software Engineering & IT Software Engineering
Salary
Not Disclosed
Location
Riyadh, Business Gate Complex, Bldg 9
Work arrangement
On-site
Employment
Full-time
Education
Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

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Role Summary

AI-generated

The AI Native Engineer partners with enterprise clients to design, build, and operate agent-powered workflows and cloud-native systems. The role supports enterprise AI adoption by delivering secure, scalable agentic solutions, integrating AI platforms, and translating client workflows into operational systems.

What You'll Do

  • Design and build enterprise-ready AI agents with retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses,...
  • Develop abstraction layers, shared libraries, SDKs, and reusable patterns across AI providers.
  • Use containerization, Kubernetes, Docker, microservices, serverless, event-driven architectures, CI/CD, and observability stacks to...
  • Own deployment, monitoring, and troubleshooting for services in production.
  • Lead or participate in client design workshops, proofs of concept, and code-with sessions.
  • Define metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

Engineering experience with cloud-native systems, including APIs, microservices, containerization, and serverless architectures; hands-on experience designing and deploying agentic solutions involving agents, orchestration, context engineering, RAG, and workflow automation; experience with OpenAI, Claude, Vertex AI, or open-source models and multi-provider AI pipelines; strong Python, Java, or equivalent programming expertise; experience building 12-factor applications and Infrastructure as Code using Terraform and Helm; client-facing communication and collaboration skills, including leading technical discussions, workshops, and delivery sessions.

Required

  • Engineering experience with cloud-native systems, including APIs, microservices, containerization, and serverless architectures.
  • Hands-on experience designing and deploying agentic solutions, including agents, orchestration, context engineering, RAG, and workflow...
  • Experience with modern AI platforms such as OpenAI, Claude, Vertex AI, or open-source models.
  • Experience building or utilizing abstraction layers for multi-provider AI pipelines.
  • Strong Python, Java, or equivalent programming expertise.
  • Experience building 12-factor applications and Infrastructure as Code using tools such as Terraform and Helm.
  • Proven client-facing communication and collaboration skills, including leading technical discussions, workshops, and delivery sessions...
  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Preferred

  • Relevant AI certifications or agentic tooling experience.
  • Served as an Agentic / AI Engineer in an enterprise environment.
  • Built multi agent orchestrations using Lang-graph, Crew AI, Claude SDK, Open AI SDK, or similar tools.
  • A GitHub repo with an agent/plugins created by the candidate.
  • Additional AI certifications or experience with agentic tooling and frameworks.
  • Experience with enterprise-grade architectures for compound AI systems, orchestration frameworks, or agent registry / stream-based...
  • Understanding of the AI-native paradigm, blending cloud-native with generative model architectures.
  • Delivered solutions across multiple industries by tailoring agentic workflows to industry needs.

Original job description

Content provided by the employer

We are:

A forward-thinking services company at the forefront of AI-native innovation. We partner with enterprise clients to create next-generation, agent-powered workflows engineered to scale in real-world settings. Our engineers embed deeply with customers, moving projects beyond experimentation into operational reality. 

You are

An AI Native Engineer with a strong foundation in building cloud-native solutions and hands-on experience designing and deploying agentic systems, especially for enterprise environments. You’re a critical thinker who thrives in ambiguity, delivering concrete results by designing, building, and running AI agents that augment workflows and scale across modern infrastructure.

You'll shape 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 IC

The Work

You’ll partner directly with client stakeholders — acting as both technologist and trusted advisor. You’ll partner with stakeholders to define use cases, rapidly prototype, and deploy agentic workflows that are robust, secure, and operational in complex enterprise domains. Often, these will be net-new platforms and systems that need to be stitched together in our clients’ environments alongside our ecosystem partners.

Agent Architecture & Engineering

  • 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 can be iterated on quickly.

AI Platform Integration

  • Develop and/or extend abstraction layers across AI providers (Anthropic, Google, OpenAI, etc.) to enable seamless integration and multi-provider enablement.
  • Contribute to shared libraries, SDKs, and patterns that can be reused across clients.

Cloud-Native Engineering

  • Leverage containerization (Kubernetes, Docker), microservices, serverless, event-driven architectures, CI/CD, and observability stacks to deliver scalable AI-native systems.
  • Own deployment, monitoring, and troubleshooting for your services in production.

Domain-Specific Workflows

  • Tailor and deploy agentic applications across verticals (e.g., finance, healthcare, retail), adapting to domain-specific processes and constraints.
  • Work closely with client SMEs to translate business workflows into agentic solutions.

Client Engagement

  • Participate in and/or lead design workshops, 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.

Measure & Improve

  • Define and use key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness.
  • Iterate rapidly based on data, feedback, and changing requirements.

Knowledge Sharing

  • Craft reusable patterns, documentation, and best practices that influence internal assets and client roadmaps.
  • Contribute to internal communities of practice around AI-native and agentic engineering.

Travel may be required for this role. The amount of travel will vary from 25% to 75% depending on business need and client requirements.

Here’s What You Need

  • Demonstrated engineering experience with cloud-native systems, including APIs, microservices, containerization, and serverless architectures.
  • Hands-on experience designing and deploying agentic solutions, including agents, orchestration, context engineering, RAG, and workflow automation in production or near-production environments.
  • Experience with modern AI platforms such as OpenAI, Claude, Vertex AI, or open-source models, including building or utilizing abstraction layers for multi-provider AI pipelines.
  • Strong Python, Java, or equivalent programming expertise, with experience building 12-factor applications and Infrastructure as Code using tools such as Terraform and Helm.
  • Proven client-facing communication and collaboration skills, including leading technical discussions, workshops, and delivery sessions in ambiguous or evolving environments.
  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Bonus Points If You Have:

  • Relevant AI certifications or agentic tooling experience are a plus.
  • You’ve served as an Agentic / AI Engineer in an enterprise environment.
  • You’ve built multi agent orchestrations using (Lang-graph, Crew AI, Claude SDK, Open AI SDK, etc).
  • Have a GitHub repo with an agent/plugins you have created
  • You have additional AI certifications or experience with agentic tooling and frameworks.
  • You’ve defined or worked with enterprise-grade architectures for compound AI systems, orchestration frameworks, or agent registry / stream-based architectures.
  • You understand the AI-native paradigm — blending cloud-native with generative model architectures — optimizing for performance, modularity, and efficiency.
  • You’ve delivered solutions across multiple industries (e.g., finance, healthcare) by tailoring agentic workflows to industry needs.
  • Driven execution across multiple workstreams, ensuring quality, delivery, and alignment with client outcomes.

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com 

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

Accenture

About the company

Accenture

Large Enterprise

Accenture is a global professional services company that specializes in providing consulting, technology, and outsourcing services. With a diverse range of industries served, including financial services, healthcare, and telecommunications, Accenture leverages advanced technologies and data analytics to help organizations improve their performance and drive innovation. Committed to sustainable progress, the company emphasizes its dedication to inclusivity, digital transformation, and building a more sustainable future for its clients and communities. With a presence in over 120 countries, Accenture is known for its expertise in integrating cutting-edge solutions that address complex business challenges.