Lead AI Platform Engineer

Dentsu World Services Brazil

Lead AI Platform Engineer at Dentsu focusing on building and evolving a corporate generative AI platform. Work with global teams using Azure, GCP, and AWS technologies.

Posted 5/12/2026full-timeRemote • 🇧🇷 BrazilSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPythonTerraformVault

About the role

Key responsibilities & impact

Design, build, and operate the corporate AI Gateway using Azure API Management (APIM).
Develop advanced governance, authentication, routing, and observability policies for generative AI workloads.
Integrate multiple AI providers, including Azure OpenAI, Azure AI Foundry, GCP Vertex AI, AWS Bedrock, and Adobe Firefly.
Implement FinOps mechanisms to control consumption, per-subscription quotas, token budgeting, and cost attribution.
Develop and maintain infrastructure as code (IaC) using Terraform/OpenTofu.
Build and evolve CI/CD pipelines with GitHub Actions using OIDC authentication.
Create centralized observability mechanisms using Application Insights, KQL, Azure Workbooks, Datadog, and CloudWatch.
Develop APIM policies for SSE streaming, request/response transformation, retry, fallback, and backend routing.
Work on platform security using Azure AD, JWT validation, WAF tuning, Front Door, and Key Vault.
Automate operations and administrative workflows using Bash, PowerShell, and Python.
Produce technical documentation, OpenAPI specs, and materials for technical and non-technical stakeholders.
Support internal teams in the secure and scalable adoption of generative AI.
Translate technical limitations and architectural decisions into clear recommendations for different audiences.
Work autonomously to identify needs, prioritize improvements, and continuously evolve the platform.

Requirements

What you’ll need

Strong experience with Azure API Management (APIM).
Deep understanding of Large Language Models (LLMs), including tokenization, context windows, reasoning models, and multimodal workloads.
Experience with Azure OpenAI and Azure AI Foundry.
Experience with multi-cloud architectures and integrations between AI providers.
Experience with Terraform/OpenTofu and infrastructure as code.
Experience with GitHub Actions using OIDC (without persisted secrets).
Knowledge of REST APIs, OpenAPI 3.x, SSE streaming, and request/response transformation.
Experience with observability using Application Insights, KQL, Datadog, or similar tools.
Knowledge of quota control, rate limiting, and FinOps strategies applied to generative AI.
Experience with authentication/authorization using Azure AD, OAuth2/OIDC, and JWT validation.
Knowledge of troubleshooting and problem analysis in distributed environments.
Experience with automation using Bash, Python, or PowerShell.
Advanced English for technical communication and international collaboration.

Benefits

Comp & perks

All necessary equipment for your work (laptop and peripherals);
Health and dental insurance;
Life insurance;
Mental health program;
Anywhere office – flexibility to work from wherever you need;
Meal and food allowances (VR/VA) (Flash benefits card);
Home office allowance (Flash benefits card);
Mobility allowance (Flash benefits card);
Mentorship program for career development and guidance;
Access to development tracks (investment in courses, etc.) and to our free learning platform with many self-learning courses;
Private English lessons with a personal instructor;
Awesomeness – delivery of themed and exclusive gifts;
Gympass;
Flexible working hours (40 hours per week);
Birthday day off;
Appreciation – recognition program with the option to give and receive monthly 'dentsu dollars';
Fully remote or hybrid work (your choice).

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Azure API ManagementTerraformOpenTofuGitHub ActionsApplication InsightsKQLDatadogBashPowerShellPython

Soft Skills

technical communicationproblem analysisautonomyprioritizationcollaboration