AI Engineer - MCP Security & Connectivity

What is it like to work at Deloitte?

🤩 High-impact projects where you will have a long career and learning path

☯️ Hybrid-flexible day-to-day: you will have flexible hours and a good balance between remote work and teamwork in our offices or those of our clients

⚽ Good atmosphere inside and outside the office: you will enjoy several team-building activities per year, cultural and sports activities... and much more!

🧘♀️ Comprehensive well-being: take care of yourself with our physical, mental, and financial health program... and with a medical team in the offices!

🤲 Social impact: You can sign up for a large number of national and international volunteering opportunities and pro-bono projects to put your time and talent at the service of those who need it most

🗣️Feedback and continuous learning culture: you will grow in an inclusive environment where equal opportunities and your personalized training plan will boost your development. Can you already see yourself at the Deloitte University in Paris?

🤝 Exclusive benefits for being part of Deloitte: you will be able to enjoy a wide catalog of benefits and a comprehensive flexible compensation plan

· Experience in Model Context Protocol (MCP), including servers, clients, tools, discovery, and schema definition.

· Solid knowledge in REST API design and distributed architectures.

· Experience in authentication and authorization via OAuth 2.0, JWT, scopes, workload identities, and identity delegation models.

· Knowledge of security applied to Cloud architectures, Zero Trust, minimum privilege, RBAC/ABAC, and certificate and secret management.

· Experience working with API Gateway, AI Gateway, or MCP Gateway, as well as with Control Plane and Data Plane concepts.

· Knowledge of Git, CI/CD, and Cloud architectures, especially AWS.

We will positively value:

· Experience with AWS Bedrock AgentCore, AgentCore Gateway, and AWS services such as API Gateway, Lambda, Step Functions, SQS, EventBridge, or IAM.

· Knowledge of Vault, OpenAPI, Infrastructure as Code, and distributed observability.

· Experience in agent architectures, A2A protocols, and integration governance.

· Knowledge of Data Residency, DLP, and security in SaaS integrations.

· Experience working with platforms such as GitHub, Jira, Figma, Salesforce, Workday, Gemini, or similar technologies.

Imagine yourself participating in the transformation of the leading national and international organizations?

At Deloitte, we are committed to making an impact on society, our clients, and you.

At Deloitte, we know that the best way to face environmental challenges is through the best talent, which is why we are looking for people passionate about technological innovation and business transformation.

From our Artificial Intelligence (AI) team, we are looking for professionals who want to join the new challenges presented to us by technology and the way we interact with the world. Within this department, you will have the opportunity to work on challenging and dynamic projects, exploring, designing, and implementing Artificial Intelligence-based solutions for our clients.

In this position, you will be part of the Connection Layer / AI Banking Platform line, a team that acts as a link between AI, Architecture, Platforms, and Security to enable secure, scalable, and governed integrations between AI agents, corporate platforms, and third-party services.

· Analyze internal and third-party MCP Servers, understanding their architecture, deployment model, authentication, and dependencies.

· Design connectivity architectures between AI agents, gateways, MCPs, tools, and corporate APIs, ensuring their scalability and security.

· Define and review authentication and authorization mechanisms, including OAuth 2.0, JWT, scopes, workload identities, token exchange, and mTLS.

· Design technical and end-user identity propagation models, guaranteeing correct management of access and permissions.

· Evaluate SaaS and third-party integrations, identifying risks, security restrictions, governance requirements, and aspects related to data traceability and residency.

· Participate in the design of reusable patterns and architectures that allow for the accelerated adoption of new MCPs and agents while minimizing ad hoc reviews.

· Prepare technical documentation and architecture diagrams for the Security, Architecture, and Platforms teams.

· Collaborate on PoCs and connectivity pilots with external platforms, contributing to the evolution of solutions based on generative AI and intelligent agents.