[Job - 32512] Senior - AI Deployment Engineer, Brazil

Ciandt; Brasil; Hybrid; BRL 180,000 - 320,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Meal allowance

Childcare support

Extended paternity leave

Wellness program (Wellhub)

Job summary

CI&T is seeking a seasoned DevOps/SRE specialist focused on LLMOps and AI deployment. You will design and run CI/CD for agentic AI services, ensure production readiness, and manage security, observability and cost optimization.

Responsibilities include deploying AI workloads, automating environments, and enabling safe, compliant operations at scale across client projects.

Qualifications

• Experience with AI deployment and MLOps principles.
• Hands-on with CI/CD for agentic environments and model endpoints.
• Knowledge of observability, monitoring and security across AI workloads.
• Ability to design guardrails and safety controls for AI systems.
• Understanding of cost optimization and AI FinOps practices.
• Familiarity with Kubernetes, IaC concepts and cloud concepts is a plus.
• Strong collaboration with AI engineers and SRE teams.
• Experience in production deployment of AI/ML solutions.

Responsibilities

• Take the solution to production and design CI/CD pipelines for agentic environments.
• Automate configuration of dev, staging and production environments.
• Operate model serving, ensuring availability and latency at scale.
• Establish gates for security, quality and compliance in delivery.
• Manage release cadences, versioning and rollback procedures.
• Instrument observability and monitor token cost and performance.
• Optimize AI inference budgets and model routing.
• Ensure production security and data protection within client compliance.

Skills

LLMOps

DevOps Engineering

Site Reliability

AI Security

Observability

AI FinOps

Guardrails

CI/CD

Model Routing

Job description

At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.

With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.

We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.

Take the solution to production and keep it running reliably and securely, at the speed AI demands, covering both the deployment of conventional applications (app stores, CDN, mobile release trains, feature flags and blue/green service rollouts) and that of AI systems. Designs and manages the deployment corridor and the CI/CD pipelines for agentic environments, provisioning infrastructure, defining the release cadence, security and compliance pipeline gates and rollback strategies for fast recovery. This is the technical evolution of DevOps and SRE into the world of models, what the market calls LLMOps: serving, managing the observability platform and the health metrics of the solution, AI FinOps with active management of the inference budget and intelligent model routing, perimeter security, infrastructure guardrails and management of package versioning, environment configurations and model endpoints in production. Closes the downstream by ensuring that what was built reaches the client stable, secure and economically viable, and feeds the delivery line back with operational signals for continuous optimization of delivery.

Responsibilities

• - Take the solution to production, designing CI/CD pipelines for agentic environments and reducing the time between building and delivering (lead time).
• - Execute the deployment of conventional applications (app stores, CDN, mobile release trains, feature flags and blue/green service rollouts), to bring any product to the client safely.
• - Provision and automate the standardized configuration of the dev, staging and production environments.
• - Operate the serving of models and agents, ensuring availability, latency and scale in production.
• - Establish quality, security and compliance pipeline gates at every stage of the delivery line before release.
• - Execute versioning strategies, manage the release cadence and run rollback and fast recovery procedures in case of failure.
• - Instrument observability and metrics over the AI solution, monitoring behavior, quality and token cost. Manage the AI FinOps of the operation, optimizing the inference budget and the intelligent routing of models (smaller ones for simple tasks, larger ones only when necessary), to improve the cost-performance ratio in production.
• - Ensure the security of the solution in production, with access control, data protection and mitigation of AI risks, to operate within the client's compliance boundaries.
• - Apply infrastructure guardrails that contain model risk and improper agent behavior in production.
• - Version application packages, environment configurations and model endpoints, ensuring traceability and safe rollback.
• - Feed upstream and the AI Engineer back with production signals on cost, failures and real performance.
• - Apply ethics, privacy, data security and compliance practices, to keep the solutions within the client's and CI&T's rules.

Requirements for this challenge

• LLMOps
• DevOps Engineering
• Site Reliability (SRE)
• AI Security and Access Control
• Observability and Monitoring
• AI FinOps and Cost Optimization
• Guardrails and AI Safety
• CI and CD
• Model Routing and Selection

Nice to Have

• Cloud computing concepts

• Applied Infrastructure as Code (Terraform)

• Knowledge of Azure Container Apps

• Scalability

• Connectivity

• Code review

• Kubernetes (K8s) containers

Our benefits:

-Health and dental insurance

-Meal and food allowance

-Childcare assistance

-Extended paternity leave

-Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass;

-Profit Sharing and Results Participation (PLR);

-Life insurance

-Continuous learning platform (CI&T University);

-Discount club

-Free online platform dedicated to physical, mental, and overall well-being

-Pregnancy and responsible parenting course

-Partnerships with online learning platforms

-Language learning platform

And many more!

More details about our benefits here: https://ciandt.com/br/pt-br/carreiras

At CI&T, inclusion starts at the first contact. If you are a person with a disability, it is important to present your assessment during the selection process. See which data needs to be included in the report by clicking here. This way, we can ensure the support and accommodations that you deserve. If you do not yet have the assessment, don't worry: we can support you in obtaining it.

We have a dedicated Health and Well-being team, inclusion specialists, and affinity groups who will be with you at every stage. Count on us to make this journey side by side.