AI-Native Enterprise Engineering Lead

Accenture; Amsterdam; On-site; EUR 120,000 - 170,000; Full time

Job summary

Accenture seeks an AI Native Engineer with 5+ years of experience to embed with clients, act as technologist and trusted advisor, and define use cases for agentic workflows that scale in real-world environments.

You will prototype and deploy robust AI agents, integrate across AI providers, and apply cloud-native architectures (Kubernetes, Docker, CI/CD) to deliver scalable, secure systems for enterprise domains.

Qualifications

• 5+ years of experience building cloud-native solutions.
• Experience designing and deploying agentic systems for enterprise environments.
• Ability to deliver concrete results while navigating ambiguity.
• Experience embedding with clients as technologist and trusted advisor.

Responsibilities

• Agent Architecture and Engineering: design enterprise-ready AI agents with retrieval, orchestration, policy-based routing, tool invocation, evaluation harnesses, and observability.
• AI Platform Integration: develop abstraction layers across AI providers to enable seamless integration.
• Cloud-Native Engineering: leverage Kubernetes, Docker, microservices, serverless, CI/CD, and observability.
• Domain-Specific Workflows: tailor agentic apps across verticals like finance, healthcare, and retail.
• Client Engagement: conduct design workshops, POCs, and code-with sessions to shape workflows.
• Measure & Improve: define metrics and evaluation plans to assess accuracy, latency, safety, and cost.
• Knowledge Sharing: craft reusable patterns and best practices for internal assets and client roadmaps.
• Travel may be required (0-100%).
• Advise on modern software engineering practices, Gen-AI in dev, and green software engineering.

Skills

AI-native engineering

Cloud-native solutions

Agentic systems

Stakeholder collaboration

Design workshops

Tools

Kubernetes

Docker

CI/CD

Observability

Job description

Accenture seeks an AI Native Engineer with 5+ years of experience to embed with clients, act as technologist and trusted advisor, and define use cases for agentic workflows that scale in real-world environments.

You will prototype and deploy robust AI agents, integrate across AI providers, and apply cloud-native architectures (Kubernetes, Docker, CI/CD) to deliver scalable, secure systems for enterprise domains.