Generative AI Architecture Specialist

GFT Technologies

. Define and evolve the architecture of services and components for the Generative AI platform.

Posted 9/18/2026full-timeRemote • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and integrating Generative AI applications using Python, LangGraph, and LangChain, while ensuring robust architecture and security practices. Proficient in implementing Model Gateway solutions and managing tool integrations through APIs and automation.

Highest-signal resume keywords

Python DevelopmentGenerative AI ApplicationsLangGraph and LangChainAWS and Amazon BedrockModel Gateway Solutions

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonLangGraphLangChainAWSAmazon BedrockModel GatewayREST APIsN8nAutomated TestingCI/CD Pipelines

Soft Skills

Technical MentoringCode ReviewsPromoting Best Practices

Tools & Technologies

Amazon Bedrock AgentCoreMCPMonitoring ToolsObservability Tools

Industry Keywords

Generative AIAgent SecurityAccess ControlRAGLLMOpsAgentOps

Tech Stack

Tools & technologies

AWSPython

About the role

Key responsibilities & impact

Define and evolve the architecture of services and components for the Generative AI platform.
Develop agent components using LangGraph and LangChain, including orchestration, state, memory, and tool integration.
Integrate models and runtime services using Amazon Bedrock and Amazon Bedrock AgentCore.
Implement and maintain Model Gateway solutions, ensuring standardized access, model routing, usage control, and contingency measures.
Implement guardrails, tool authorization, human approval, and action control mechanisms within platform workflows.
Develop tool integrations and contracts through APIs, MCP, and automations using n8n.
Lead proofs of concept and technical evaluations of new technologies and tools.
Define and promote architectural standards, best practices, and engineering guidelines.
Provide technical mentoring, code reviews, and development support to team members.
Implement monitoring, traceability, and continuous evaluation strategies for quality, performance, and costs.
Support platform testing, observability, security, and governance practices.
Create reusable components and templates to support the adoption of solutions in production.

Requirements

What you’ll need

Strong experience with Python and developing Generative AI applications in production environments.
Hands-on experience with LangGraph and LangChain.
Knowledge of and experience working with AWS, Amazon Bedrock, and Amazon Bedrock AgentCore.
Experience defining and implementing architectures for intelligent agents.
Knowledge of guardrails, agent security, and access control for data and tools.
Experience with Model Gateway, model integration, and usage management.
Experience with n8n, REST APIs, and tool contracts via MCP.
Knowledge of RAG (Retrieval-Augmented Generation).
Experience with agent evaluation, observability, and LLMOps and AgentOps practices.
Experience with automated testing, Git-based version control, and CI/CD pipelines.
Ability to serve as a technical reference and promote engineering best practices.
Availability to work remotely from Brazil, according to the location listed as Alphaville - Barueri, Brazil.

Benefits

Comp & perks

Flexible benefits card – you choose how and where to use it.
Tuition assistance for undergraduate, graduate, MBA, and language courses.
Certification incentive programs.
Flexible working hours.
Competitive salaries.
Annual performance review with a structured career development plan.
International career opportunities.
Wellhub and TotalPass.
Private pension plan.
Childcare assistance.
Medical insurance.
Dental insurance.
Life insurance.