Senior IA Architect / GenAI Solutions Architect

New
C
CI&TGenerative AI
Listing location: Brazil; Workplace type: RemoteFull-TimeSenior
Salary not disclosed
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Job Details

Required Skills
DockerPythonKubernetesRESTful APIsGenerative AI

Requirements

  • Experience in solution architecture for generative AI and LLMs.
  • Strong knowledge of cloud-native architecture on OCI.
  • Experience with agent orchestration and conversational flows.
  • Knowledge of Python applied to AI solutions.
  • Experience integrating REST APIs, mTLS, and legacy systems.
  • Knowledge of Model Context Protocol (MCP) for integration between agents and corporate tools.
  • Experience with GenAI application observability using Langfuse.
  • Prompt engineering skills and experience evaluating LLM responses.
  • Knowledge of Docker, Kubernetes, and deployment architecture for OKE.
  • Strong knowledge of security, resilience, scalability, and technical governance practices.

Responsibilities

  • Define reference architecture for generative AI agents across voice and chat channels.
  • Design conversational flows for low latency, scalability, and high availability.
  • Structure LLM orchestration architecture using frameworks such as LangChain, LlamaIndex, or equivalents.
  • Define integration patterns for corporate systems using MCP Servers, REST APIs, and mTLS.
  • Guide the use of NeMo Guardrails for response controls, compliance policies, and risk mitigation.
  • Define observability strategy with Langfuse, including traces and cost, latency, quality, and performance metrics.
  • Support architectural decisions for deployment on OCI, Kubernetes, and OKE.
  • Design context, conversational memory, and caching strategies using Redis or equivalent technologies.
  • Review technical designs, support squads during implementation, and ensure adherence to defined standards.
  • Evolve the architecture using production metrics, user feedback, and ongoing LLM evaluation.
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