AI-Native Enterprise Agent Architecture Lead

3900 Accenture B.V. Company; Amsterdam; On-site; EUR 120,000 - 180,000; Full time

Job summary

Accenture is seeking an AI Native Engineer to embed with enterprise clients, designing and deploying agentic workflows that scale across modern infrastructure.

You will define use cases, prototype rapidly, and deliver secure, robust AI agents. The role combines technologist and trusted advisor responsibilities, with hands‑on work across Python/Java, Kubernetes, and cloud platforms. Travel may be required for client engagements.

Qualifications

• Minimum of 10 years engineering experience with cloud‑native systems.
• Minimum of 1 year of deep expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments.
• Minimum of 7 years of experience with AI platforms — OpenAI, Claude, Vertex AI, plus open‑source models — including building abstraction layers to manage multi‑provider pipelines.
• Minimum of 10 years of experience programming in Python, Java, or equivalent; familiarity with evaluation tooling, logging, monitoring, and agent observability.
• Minimum of 10 years of experience deploying to production — CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging.
• Minimum of 10 years of experience in client communication and collaboration, including being capable of leading technical workshops and delivering under ambiguity.
• Bachelor’s degree in Computer Science, Engineering, or equivalent; additional AI certifications or agentic tool experience is a plus.

Responsibilities

• Agent Architecture and Engineering: Design and engineer enterprise‑ready AI agents encompassing retrieval, orchestration, policy‑based routing, tool invocation, evaluation harnesses, and lifecycle observability.
• AI Platform Integration: Develop abstraction layers across AI providers (Anthropic, Google, OpenAI, etc.) to enable seamless integration and enablement.
• Cloud‑Native Engineering: Leverage containerization (Kubernetes, Docker), microservices, serverless, event‑driven architectures, CI/CD, and observability to deliver scalable AI‑native systems.
• Domain‑Specific Workflows: Tailor and deploy agentic applications across verticals — e.g., finance, healthcare, retail — addressing domain‑specific processes via intelligent automation.
• Client Engagement: Conduct design workshops, POCs, and code‑with sessions to shape data‑driven agent workflows with stakeholders, fostering trust and adoption.
• Measure & Improve: Define and use key metrics, test harnesses, and evaluation plans to measure agent accuracy, latency, safety, and cost effectiveness.
• Knowledge Sharing: Craft reusable patterns, documentation, and best practices to influence internal assets and client roadmaps.

Skills

Cloud-native engineering

Agentic AI design

Python/Java

CI/CD

Client collaboration

Observability

Education

Bachelor’s degree in CS or Engineering

Tools

Kubernetes

Docker

Terraform

Helm

Job description

Accenture is seeking an AI Native Engineer to embed with enterprise clients, designing and deploying agentic workflows that scale across modern infrastructure.

You will define use cases, prototype rapidly, and deliver secure, robust AI agents. The role combines technologist and trusted advisor responsibilities, with hands‑on work across Python/Java, Kubernetes, and cloud platforms. Travel may be required for client engagements.