AI SDLC Architect: Automate & Elevate Delivery (Hybrid)

Hornetsecurity; Lille; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Meal vouchers (€10)

Public transport fully covered

Health insurance

Supplementary pension (Axa)

Sports and wellness subsidy

Job summary

Hornetsecurity in Lille, France, seeks an AI Automation Architect – SDLC to automate the Software Development Life Cycle via AI orchestration. You will work with tech, business units, and transformation teams to drive AI adoption across the company.

You will analyze SDLC/CI/CD pipelines, identify high-impact AI use cases, implement AI-based workflow solutions, and support governance, training, and ROI measurement. Fluency in French/English is required.

Qualifications

• Experience analyzing and automating software development processes.
• Hands-on experience with AI tools, APIs, enterprise tools, and scripting.
• Fluency in French and English, written and spoken.

Responsibilities

• Analyze and optimize the SDLC and CI/CD pipelines.
• Identify AI/automation use cases focusing on workflows and memory architectures.
• Design, develop, and implement AI-based workflow solutions.
• Integrate automations into existing systems and processes.
• Deliver training sessions and onboarding.
• Create internal documentation, playbooks, and best practices.
• Advise teams on AI use and governance.
• Measure impact and ROI of automations.

Skills

SDLC automation

AI tooling

APIs

Scripting

Python

Communication

Training delivery

Data protection awareness

Bilingual FR/EN

Tools

Python

Job description

Hornetsecurity in Lille, France, seeks an AI Automation Architect – SDLC to automate the Software Development Life Cycle via AI orchestration. You will work with tech, business units, and transformation teams to drive AI adoption across the company.

You will analyze SDLC/CI/CD pipelines, identify high-impact AI use cases, implement AI-based workflow solutions, and support governance, training, and ROI measurement. Fluency in French/English is required.