Systems & Network Architect
M1839
Future work distribution
Human only
Collaboration
AI only
This chart shows how the job's tasks split between humans and AI. "AI only" means a task AI can handle without a human — not a job removed: the role recomposes and the human refocuses on judgment, relationships and oversight.
AI Position of the Job
AI Impact on this job
You remain at the center of technical decisions, AI augments your role without replacing it. It takes charge of repetitive execution and systematic analysis, freeing up time for architecture and the supervision of complex incidents.
AI automates routine and analytical operations, while you retain design, validation and strategic oversight.
What will change
- Oversee the maintenance and evolution of IT infrastructure: AI performs continuous monitoring, correlates events and applies standard fixes or updates to restore services.
- Ensure the implementation and deployment of technical solutions: AI orchestrates pipelines, generates and applies reproducible configurations and deploys components according to defined rules.
- Optimize the performance and security of systems and networks: AI continuously analyzes metrics, identifies anomalies and executes corrective actions to stabilize and strengthen the infrastructure.
What AI will improve
- Design the architecture of systems and networks: AI proposes scenarios, simulates capacities and impacts, and provides mockups and scripts that you validate and adapt.
- Optimize performance and security: AI provides prioritized diagnostics, adjustment recommendations and mitigation scenarios, which accelerates your technical decision-making.
- Ensure implementation and deployment: AI speeds up the production of manifests and scripts, automates tests and recommends playbooks, allowing you to focus on coordination and validation.
This result describes the occupation — not your role yet
Adjust your tasks, seniority and context to uncover your real exposure to AI.
For Systems & Network Architect, AI can already do 38% of tasks on its own — on average. What about you?
Your strengths against AI
Recommendations & outlook
Skills to develop
- Master AI tools (LLMs) and specialized infrastructure and security management tools to analyze outputs and automate repetitive tasks.
- Strengthen architecture skills and multi-criteria evaluation by using LLMs and specialized tools to explore scenarios and verify compliance.
- Develop leadership, change management, and business communication skills, leveraging AI tools to facilitate collaboration and reporting (LLMs + dashboards).
3-year outlook
In three years, the role will focus more on strategic design, governance, and system control. AI will handle operational and analytical aspects, pushing teams to specialize and collaborate more closely with business stakeholders and security teams. The risk for teams lies in significant job restructuring: pure technical skills will decline in favor of architecture, supervision, and coordination capabilities, with a growing need for continuous training.
A general LLM assistant is already within reach
Before any specialized software, a latest-generation LLM assistant (Claude, ChatGPT, Mistral Le Chat, Gemini…) is available for this profession. Versatile, it helps draft, summarize, translate, structure or explore ideas. We treat it as a common baseline shared by almost every profession, distinct from specialized tools.
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Tasks most exposed to AI alone
7Tasks most augmented by AI
7Your role isn't an average.
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Frequently Asked Questions
No, not from imminent disappearance, but from a transformation of your role. AI and automation will take over repetitive operational tasks, while you remain indispensable for designing robust architectures and ensuring system security and performance. To stay competitive, you must develop a strategic vision and train in AI tools and infrastructure automation.
System and network architect roles won’t disappear, but they will evolve. Companies will need profiles capable of designing resilient architectures, managing security and observability, while leveraging more specialized and efficient teams through automation. You’ll likely collaborate with AI engineers, SRE experts, and security teams to ensure system coherence and governance at scale.
To adapt, focus on skills shifting toward design and governance. Strengthen your knowledge in cloud computing, infrastructure as code, security, and architectural governance, and earn relevant certifications (e.g., cloud, networking, and cybersecurity). Develop a product mindset, collaborate with AI and cybersecurity teams, and invest in staying updated with technological trends to anticipate changes and guide infrastructure decisions.