AI Architect, Delivery Lead

Bimeda

. Own and document Bimeda’s reference architecture and technical decision records for building and running AI .

Posted 11/9/2026full-timeMonte Mor • BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and operating AI solutions, including production LLM applications and integrations with enterprise systems. Proficient in Python and cloud deployment, with strong documentation and governance practices in regulated environments.

Highest-signal resume keywords

Python ProgrammingAI Solution DevelopmentMicrosoft 365 IntegrationCloud Deployment (Azure Preferred)Technical Documentation

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Hard Skills

Software EngineeringArchitecture Decision MakingProduction LLM ApplicationsAutomation DevelopmentCI/CD ExperienceMulti-Agent OrchestrationSecurity PracticesData ProtectionAudit LoggingComputer System Validation

Soft Skills

Excellent CommunicationInterpersonal SkillsProactive Self-StarterJudgment and DiscretionAbility to Work Under Pressure

Tools & Technologies

Claude APIOpenAI ToolsAnthropic ToolsGoogle AI ToolsLow-Code Tools (e.g., Copilot Studio, n8n, Zapier)SalesforceQAD ERPAzureAWSGCP

Industry Keywords

GxP EnvironmentsAI GovernanceTechnical OwnershipVendor ManagementCross-Functional Collaboration

Tech Stack

Tools & technologies

AWSAzureCloudERPGoogle Cloud PlatformPython

About the role

Key responsibilities & impact

Own and document Bimeda’s reference architecture and technical decision records for building and running AI
Recommend whether approved use cases should be bought off the shelf, built in-house, or delivered by a specialist partner
Set standards for agents, skills, and AI utilities, including logging, observability, evaluation, versioned prompts, and human-in-the-loop checkpoints
Provide technical recommendations for new use cases, including effort, cost, data, and security dependencies
Build in-house agents and chatbots using approved AI tools, Python, and integrations with Microsoft 365, Salesforce, QAD ERP, and other core systems
Own build quality, testing, and documentation of in-house solutions
Direct the AI Development team and review code and agent designs
Act as technical owner for AI-platform solutions, including agents handed over by external partners
Serve as technical contact for vendor-run tools
Monitor, fix, and re-test live solutions when underlying AI models change
Maintain current run-books for live solutions
Review partner statements of work and technical deliverables; accept or reject handovers
Identify opportunities to deliver builds in-house at lower cost
Support milestone- and deliverable-based partner engagements
Implement AI governance controls including audit trails, access boundaries, and documented human decision points
Agree validation approaches with Quality for tools supporting quality or manufacturing decisions in GxP environments
Lead the AI Development team, set priorities, and maintain a documented backlog
Run technical clinics for AI Council members and functional champions
Implement AI spend policy set by the AI Council and Executive Committee
Balance new builds with operating, fixing, and improving existing AI solutions

Requirements

What you’ll need

Based in Brazil
Fluency in English, written and verbal
Additional Portuguese, Spanish, or French is a plus
6+ years in software engineering or architecture roles
2+ years building production LLM applications or agents
Experience shipping and operating an agent or automation used daily by non-technical colleagues
Ability to describe architecture decisions that changed cost, risk, or outcome
Track record of identifying gaps and building solutions independently
Experience integrating enterprise systems such as Microsoft 365, Salesforce, or an ERP
Experience working cross-functionally with multiple stakeholders and ambiguity
Prior experience supporting a multi-region or multinational organization is a strong plus
Experience in a regulated environment and exposure to computer system validation is a plus
Ability to assess the technical soundness of partner statements of work
Strong Python skills
Cloud deployment and CI/CD experience; Azure preferred, AWS or GCP acceptable
Hands-on Claude API or SDK, or equivalent, including tool use, MCP connectors, multi-agent orchestration, and output-quality evaluation
Written architecture decisions and security practices including least-privilege access, secrets handling, audit logging, and data protection
Low-code tools such as Copilot Studio, n8n, or Zapier are a plus, not required
Strong documentation habits, including run-books, reproducible methods, and version control
Advanced technical degrees are not required
Customer-focused, accountable for delivery speed, quality, and reliability
Ability to work under pressure in a challenging, fast-moving environment
Excellent oral and written communication
Ability to explain technical trade-offs to non-technical executives and influence decisions through evidence
Strong interpersonal skills, proactive self-starter, judgment, and discretion
Comfortable operating independently with minimal day-to-day supervision
Advanced practical experience using OpenAI, Anthropic, and Google AI tools is required; Claude experience strongly preferred

Benefits

Comp & perks

Full-time regular employment
Opportunity to build and run Bimeda’s internal AI capability
Leadership of the AI Development team
Access to advanced AI tools and cloud environments as part of the role