Join CI&T and help bring AI-powered solutions into production reliably, securely, and efficiently. You’ll work across conventional application delivery and AI systems, building deployment capabilities that support stable releases, strong operational performance, and ongoing improvement.

Responsibilities

• Design CI/CD pipelines for agentic environments and help reduce the time from development to delivery.
• Deploy conventional applications using approaches such as app stores, CDNs, mobile release trains, feature flags, and blue/green rollouts.
• Provision and automate standardized development, staging, and production environments.
• Operate model and agent serving to support availability, low latency, and scale.
• Establish quality, security, and compliance checks throughout the delivery pipeline.
• Manage versioning, release cadence, rollbacks, and recovery procedures.
• Monitor AI solution behavior, quality, and token costs; optimize inference budgets and model routing.
• Apply access controls, data protection, AI risk mitigation, and infrastructure guardrails in production.
• Maintain traceability for application packages, environment configurations, and model endpoints.
• Share production insights on costs, failures, and performance to support continuous improvement.
• Follow ethics, privacy, data security, and compliance practices.

Mandatory requirements

• LLMOps
• DevOps engineering
• Site Reliability Engineering (SRE)
• AI security and access control
• Observability and monitoring
• AI FinOps and cost optimization
• Guardrails and AI safety
• CI/CD
• Model routing and selection

Nice to have

• Cloud computing concepts
• Applied Infrastructure as Code, including Terraform
• Azure Container Apps
• Scalability and connectivity
• Code review
• Kubernetes containers

What we expect
You’ll bring a focus on reliable, secure, and cost-aware production operations for AI solutions. You’ll collaborate with engineering partners and use operational signals to improve delivery and production performance.