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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
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
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
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 & technologiesCloudDockerKubernetesOraclePythonRedis
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
