Accenture UK & Ireland
AI Native Software Engineer
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AI Native Software Engineer
AI Native Engineer – Join a Forward-Thinking Services Company
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
- Owning critical technical areas end-to-end as a senior individual contributor (IC)
The Work
Your role will involve direct partnerships with client stakeholders, acting as both a technologist and trusted advisor. Key responsibilities include:
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 allow for rapid iteration.
AI Platform Integration
- Develop and/or extend abstraction layers across AI providers (Anthropic, Google, OpenAI, etc.) to enable seamless integration and multi-provider capabilities.
- Contribute to shared libraries, SDKs, and patterns for reuse across clients.
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Cloud-Native Engineering
- Leverage:
- containerization (Kubernetes, Docker)
- microservices, serverless, event-driven architectures
- CI/CD, observability stacks for scalable AI-native systems.
- Own deployment, monitoring, and troubleshooting of services in production.
Domain-Specific Workflows
- Tailor and deploy agentic applications across industries like finance, healthcare, and retail.
- Work closely with client subject matter experts (SMEs) to translate business workflows into agentic solutions.
Client Engagement
- Participate in and/or lead design workshops, POCs, and code-along sessions to co-create agent workflows with stakeholders.
- 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 gauge:
- Agent accuracy
- Latency
- Safety
- Cost-effectiveness.
- Iterate rapidly based on data, feedback, and evolving requirements.
Knowledge Sharing
- Develop reusable patterns, documentation, and best practices influencing:
- Internal engineering assets
- Client roadmaps.
- Contribute to communities of practice around AI-native and agentic engineering.
Travel may be required for this role, with expectations ranging from 25% to 75% depending on business needs and client demands.
You’ll Need
- Engineering experience in cloud-native systems, including:
- APIs, microservices, containerization, serverless.
- Hands-on experience designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production or near-production.
- Experience with modern AI platforms: OpenAI, Claude, Vertex AI, or open-source models, including:
- Building abstraction layers for multi-provider pipelines.
- Strong Python, Java, or equivalent for 12-factor apps, plus:
- Infrastructure as Code (Terraform, Helm).
- Strong client-facing communication and collaboration, including:
- Leading technical discussions, workshops, or delivery sessions in ambiguity-driven environments.
- Bachelor’s degree in Computer Science, Engineering, or equivalent (minimum 12 years of experience) or associate’s degree (minimum 6 years of experience).
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Bonus Points If You Have...
- Relevant AI certifications or agentic tooling experience.
- Experience as an Agentic/AI Engineer in enterprise environments.
- Built multi-agent orchestrations using:
- LangGraph, Crew AI, Claude SDK, OpenAI SDK, etc.
- A GitHub repo demonstrating agents/plugins you’ve built.
- Additional AI certifications or expertise in agentic tooling frameworks.
- Experience with enterprise-grade architectures for:
- Compound AI systems
- Orchestration frameworks
- Agent registry/stream-based architectures.
- A deep understanding of the AI-native paradigm, optimizing for:
- Performance, modularity, and efficiency.
- Experience delivering solutions across multiple industries (finance, healthcare) by tailoring agentic workflows.
- Proven executive drive managing multiple workstreams while ensuring:
- Quality
- Delivery
- Alignment with client outcomes.
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