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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in solution architecture for Generative AI and LLMs, with a focus on designing cloud-native architectures and ensuring integration with enterprise systems. Proficient in observability strategies and context management for AI applications, emphasizing performance, security, and scalability.
Highest-signal resume keywords
Generative AI Solution ArchitectureLLM Orchestration DesignPython for AI SolutionsObservability with LangfuseCloud-Native Architecture on OCI
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Generative AILLMsPythonREST APIsMTLSDockerKubernetesRedisLangChainLlamaIndex
Tools & Technologies
NeMo GuardrailsOCI Generative AI SDKMCP ServersLangfuseOKE
Industry Keywords
Customer Service ChannelsVoiceChatbotsContact CentersRegulated Enterprise EnvironmentsTelecommunications
Tech Stack
Tools & technologiesCloudDockerKubernetesPythonRedis
About the role
Key responsibilities & impact- Define the reference architecture for Generative AI agents in voice and chat channels.
- Design conversational flows optimized for low latency, scalability, and high availability.
- Structure the LLM orchestration architecture using frameworks such as LangChain, LlamaIndex, or equivalents.
- Define integration patterns with enterprise systems via MCP servers, REST APIs, and mTLS.
- Guide the use of NeMo Guardrails for safety, response control, compliance policies, and risk mitigation.
- Define the observability strategy using Langfuse, including traces and metrics for cost, latency, quality, and performance.
- Support architectural decisions for deployments on OCI, Kubernetes, and OKE.
- Design strategies for context management, conversational memory, and caching using Redis or equivalent technologies.
- Evaluate technical trade-offs between performance, cost, security, accuracy, and user experience.
- Ensure architectural alignment across development, SRE, security, data teams, and business stakeholders.
- Review technical designs, support squads in implementation, and ensure adherence to defined standards.
- Contribute to the evolution of the architecture based on production metrics, user feedback, and continuous evaluation of LLMs.
Requirements
What you’ll need- Solution architecture with Generative AI and LLMs.
- Design of cloud-native architectures on OCI.
- Experience with agent orchestration and conversational flow design.
- Python knowledge applied to AI solutions.
- Integration with REST APIs, mTLS, and legacy systems.
- Model Context Protocol (MCP) for integration between agents and enterprise tools.
- Observability for GenAI applications using Langfuse.
- Prompt engineering and evaluation of LLM responses.
- Docker, Kubernetes, and architecture for deployment on OKE.
- Best practices for security, resilience, scalability, and technical governance.
- Desired knowledge:
- NeMo Guardrails.
- OCI Generative AI SDK.
- Redis for context management and conversational memory.
- LangChain, LlamaIndex or similar frameworks.
- Experience with customer service channels, voice, chatbots, or contact centers.
- Solution architecture for GPU-based systems and low-latency workloads.
- Strategies for LLM evaluation, guardrails, automated testing, and quality monitoring.
- Experience with regulated enterprise environments, telecommunications, or large-scale customer service.
Benefits
Comp & perks- Health and dental insurance
- Meal and grocery vouchers
- Childcare assistance
- Extended parental leave
- Partnerships with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass
- Profit Sharing (PLR)
- Life insurance
- Continuous learning platform (CI&T University)
- Employee discount club
- Free online platform dedicated to physical and mental health and well-being
- Pregnancy and responsible parenting course
- Partnerships with online course platforms
- Language learning platform
- And many more
