Lead AI Platform Engineer

Team: IT

Location: Brazil

Commitment: Full-time

Workplace Type: remote

Accountabilities:

• Design, build, and operate a centralized enterprise AI Gateway using Azure API Management (APIM) to support scalable generative AI workloads.
• Develop advanced governance, authentication, routing, security, and observability policies for AI-powered applications.
• Integrate multiple AI providers and platforms, including Azure OpenAI, Azure AI Foundry, GCP Vertex AI, AWS Bedrock, and multimodal AI services.
• Implement FinOps strategies for AI workloads, including consumption monitoring, quota management, token budgeting, and cost attribution.
• Build and maintain infrastructure as code solutions using Terraform/OpenTofu to enable reliable and repeatable deployments.
• Develop and improve CI/CD pipelines with GitHub Actions, including secure authentication flows using OIDC.
• Create centralized observability solutions using tools such as Application Insights, KQL, Azure Workbooks, Datadog, and CloudWatch.
• Design and maintain API management policies involving streaming, request/response transformation, retries, fallback mechanisms, and backend routing.
• Strengthen platform security through identity management, JWT validation, WAF configuration, Front Door, and Key Vault integrations.
• Automate operational processes using scripting languages such as Bash, Python, and PowerShell.
• Create technical documentation, OpenAPI specifications, and communication materials for both technical and non-technical stakeholders.
• Support internal teams in adopting generative AI solutions securely and efficiently.
• Translate complex technical decisions into clear recommendations for different audiences.
• Work autonomously to identify improvements, prioritize initiatives, and continuously evolve the AI platform.

Requirements:

• Extensive experience with Azure API Management (APIM) and enterprise-scale API platforms.
• Strong understanding of Large Language Models (LLMs), including tokenization, context windows, reasoning models, and multimodal AI workloads.
• Hands-on experience with Azure OpenAI and Azure AI Foundry.
• Experience designing and implementing multi-cloud architectures and integrations between AI service providers.
• Solid knowledge of Terraform/OpenTofu and infrastructure as code practices.
• Experience building CI/CD pipelines with GitHub Actions, including OIDC-based authentication without stored secrets.
• Strong understanding of REST APIs, OpenAPI 3.x specifications, SSE streaming, and request/response transformations.
• Experience with observability solutions such as Application Insights, KQL, Datadog, CloudWatch, or similar platforms.
• Knowledge of AI cost management strategies, quotas, rate limiting, and FinOps practices.
• Experience implementing authentication and authorization solutions using Azure AD, OAuth2/OIDC, and JWT validation.
• Strong troubleshooting skills and experience analyzing issues in distributed environments.
• Experience automating workflows and operations using Bash, Python, or PowerShell.
• Advanced English proficiency for technical communication and collaboration with international teams.

Nice-to-have qualifications:

• Experience with GCP Vertex AI, AWS Bedrock, or other AI cloud platforms.
• Knowledge of Adobe Firefly APIs or multimodal AI solutions.
• Experience with Kubernetes and containerized environments.
• Experience implementing cloud cost governance, chargeback, or showback models.
• Advanced knowledge of WAF tuning and Azure Front Door.
• Experience building internal developer platforms (IDPs).
• Familiarity with Terraform azapi provider.
• Experience creating advanced observability dashboards and self-service monitoring solutions.
• Relevant certifications in Azure, Kubernetes, or FinOps.
• Experience working in global enterprise environments with complex multi-cloud architectures.

Benefits:

• All necessary equipment provided for remote work, including laptop and peripherals.
• Health and dental insurance.
• Life insurance coverage.
• Mental health support program.
• Flexible work model with anywhere office options.
• Meal and food allowance through benefits card.
• Home office allowance.
• Mobility assistance benefits.
• Career development support through mentoring programs.
• Access to learning tracks, courses, and self-learning platforms.
• Private English lessons with instructors.
• Exclusive gifts and recognition initiatives.
• Gym membership benefits.
• Flexible working hours with a 40-hour workweek.
• Birthday day off.
• Employee recognition program with rewards and appreciation initiatives.
• Fully remote or hybrid work options.
• Opportunity to collaborate with multicultural teams on global technology projects.