AI Expert – DevSecOps

AI Expert – Dev

Sec

Ops Context: The role requires expertise in artificial intelligence, particularly agentic AI: LLM, agents, MCP, skills, RAG, prompting, and code generation, within the team. The team explores, prototypes, and tools AI applications with a dual objective:

• To leverage AI for the continuous integration pipeline and tooling, primarily Git

Lab;

• To broadly familiarize the team with these technologies. The ideal candidate is technically skilled but also capable of understanding business challenges and communicating effectively with non-technical stakeholders.

MISSIONS

• Creation of spikes and POCs around agentic AI: LLM, agents, RAGs, MCPs, prompting, code generation; Integration of AI into the CI/CD pipeline and Dev

Sec

Ops tooling: Git

Lab, Git

Lab Duo and DAP in particular, MCPs on the pipeline tools ;

• Design of AI enablers and tools reusable by the train teams; Implementation and evaluation of the group's AI building blocks: Google Gemini, Vertex AI, Antigravity, Anthropic, Mistral; Design of AI agents and assistants applied to development and Dev

Ops;

• Implementation of RAGs and use of knowledge bases; Technological monitoring and evaluation of AI solutions relevant to the train; Consideration of security and compliance issues in the use of AI – Dev

Sec

Ops;

• Development of necessary components: scripts, integrations, APIs; Acculturation and dissemination within the train network: training, demonstrations, workshops; Writing and popularizing associated documentation in Confluence, for technical and non-technical audiences; Supporting train teams in adopting AI usage; Contributing to knowledge sharing and collective skills development.

Essential Technical Skills – Mandatory Requirements

• Mastery of agentic AI concepts: LLM, agents, MCP, RAG, prompting; Ability to design and integrate AI solutions: agents, RAG, model API calls; Strong fundamentals in AI-assisted development and code generation; Understanding of the link between AI, CI/CD, and Dev

Sec

Ops tools, particularly Git

Lab;

• Ability to understand business challenges and communicate them clearly to non-technical audiences; Proficiency in REST APIs and AI service integration; Knowledge of the group's AI offerings: Google Gemini, Vertex AI, Antigravity, Anthropic, Mistral; Skills in evaluating AI solutions: relevance, robustness, and performance measurement; Knowledge of AI assistants for development: Git

Lab Duo, Git

Lab DAP;

• Awareness of security and compliance issues related to AI – Dev

Sec

Ops.

Other key technical skills :

• Development, particularly Python, and scripting; General IT technical knowledge: APIs, architecture, with an operational perspective; Knowledge of AWS and GCP clouds; Understanding of containerization and execution environments: Docker, Kubernetes/Open

Shift;

• Knowledge of Confluence and Jira; Experience with agile methodologies (Scrum, SAFe) and teamwork; Proficiency in Microsoft Office Suite, Outlook, and Teams; Ability to explain complex concepts clearly and facilitate workshops; Understanding of how a Dev

Sec

Ops platform works.

Technological Environment: A good understanding of the following ecosystem is expected, without necessarily having in-depth expertise in each component:

• LLM, agents, MCP, RAG, prompting, code generation; Google Gemini, Vertex AI, Antigravity, Anthropic, Mistral; Git

Lab Duo and Git

Lab DAP;

• Python and API integration; Docker, Kubernetes/Open

Shift;

• Git

Lab CI/CD, Jira, Confluence;

• AWS, GCP, S3NS; Security and compliance applied to AI; Scrum, Kanban and SAFe; Dev

Sec

Ops and SRE best practices.

Desired Profile: The candidate must have a proven technical foundation in development and Dev

Ops with 5+ years of experience. Practical experience implementing agents, RAGs, or MCPs, or contributing to AI projects, is a significant advantage. Certifications are welcome.

Expected qualities:

• Ability to take initiative and propose decisions and action plans; Ability to anticipate technical impacts or associated risks and to raise alerts; Ability to understand business challenges, analyze needs, and be proactive in suggesting uses of AI; Knowledge of IT and telecommunications security standards and rules; Customer-focused approach, active listening, team spirit, and good communication skills; Strong ability to learn, simplify, and share knowledge; Versatility, autonomy, organization, interpersonal skills, customer service orientation, adaptability, analytical and synthesis skills; Rigor and organization; Strong analytical and writing skills, including the ability to explain complex topics clearly to non-technical audiences; Curiosity, openness, and a collaborative mindset.

Application: CV + cover letter + copies of diplomas to be sent to

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