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CI&T

Senior AI Architect / GenAI Solutions Architect

CI&T

. Define the reference architecture for Generative AI agents across voice and chat channels .

Posted 10/7/2026full-timeBrazilSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in designing and implementing Generative AI architectures, focusing on low-latency, scalable solutions across voice and chat channels. Proficient in integrating enterprise systems and ensuring compliance and security through established frameworks and observability strategies.

Highest-signal resume keywords
Generative AI Solution ArchitectureCloud-Native Architecture on OCILLM Orchestration and Conversational FlowsIntegration with REST APIs and mTLSObservability Using Langfuse

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Python for AI SolutionsPrompt EngineeringDockerKubernetesRedisLangChainLlamaIndexNeMo GuardrailsModel Context Protocol (MCP)GPU Workloads
Soft Skills
Technical GovernanceCollaboration with StakeholdersProblem-Solving
Tools & Technologies
OCI Generative AI SDKLangfuseMCP ServersOKE
Industry Keywords
Generative AIConversational AICustomer Service WorkflowsVoice and Chat ChannelsRegulated Enterprise Environments

Tech Stack

Tools & technologies
CloudDockerKubernetesOraclePythonRedis

About the role

Key responsibilities & impact
  • Define the reference architecture for Generative AI agents across voice and chat channels
  • Design conversational flows optimized for low latency, scalability, and high availability
  • Structure LLM orchestration architecture using frameworks such as LangChain, LlamaIndex, or equivalent technologies
  • Define integration patterns for enterprise systems using MCP Servers, REST APIs, and mTLS
  • Guide the use of NeMo Guardrails for security, response control, compliance policies, and risk mitigation
  • Define the observability strategy with Langfuse, including traces, cost, latency, quality, and performance metrics
  • Support architectural decisions for deployments on OCI, Kubernetes, and OKE
  • Design context management, conversational memory, and caching strategies using Redis or equivalent technologies
  • Evaluate technical trade-offs involving performance, cost, security, accuracy, and user experience
  • Ensure architectural alignment across development, SRE, security, data, and business stakeholder teams
  • Review technical designs, support squads during implementation, and ensure adherence to defined standards
  • Contribute to the evolution of the architecture based on production metrics, user feedback, and ongoing LLM evaluation
  • Lead the definition, design, and governance of Generative AI agent architecture for voice and chat channels, supporting low-latency, high-accuracy, and scalable customer service workflows on GPU infrastructure in Oracle Cloud Infrastructure (OCI)

Requirements

What you’ll need
  • Experience in solution architecture for Generative AI and LLMs
  • Strong expertise in designing cloud-native architectures on OCI
  • Experience orchestrating agents and conversational flows
  • Knowledge of Python applied to AI solutions
  • Experience integrating systems through REST APIs, mTLS, and legacy systems
  • Knowledge of the Model Context Protocol (MCP) for integration between agents and enterprise tools
  • Experience with GenAI application observability using Langfuse
  • Proficiency in prompt engineering and evaluating LLM responses
  • Knowledge of Docker, Kubernetes, and architectures for deployment on OKE
  • Strong command of best practices in security, resilience, scalability, and technical governance
  • Nice-to-have qualifications: knowledge of NeMo Guardrails; experience with the OCI Generative AI SDK; familiarity with Redis; experience with LangChain, LlamaIndex, or similar frameworks; experience with customer service channels, voice, chatbots, or contact centers; experience designing solution architectures with GPU and low-latency workloads; knowledge of LLM evaluation strategies, guardrails, automated testing, and quality monitoring; experience in regulated enterprise environments, telecommunications, or large-scale customer service

Benefits

Comp & perks
  • Health and dental insurance
  • Meal and food allowances
  • Childcare assistance
  • Extended parental leave
  • Partnerships with gyms and health and wellness professionals through Wellhub (Gympass) and TotalPass
  • Profit-Sharing and Results Program (PLR)
  • Life insurance
  • Continuous learning platform (CI&T University)
  • Discount club
  • Free online platform dedicated to promoting physical and mental health and well-being
  • Pregnancy and responsible parenting course
  • Partnerships with online course platforms
  • Language-learning platform
  • Support and accommodations for people with disabilities throughout the hiring process
  • Dedicated Health and Well-being team, inclusion specialists, and affinity groups