GenAI Platform Architect

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Job Summary

We are seeking a highly qualified professional to join our team as a GenAI Platform Architect. As an essential part of our organization, you will be responsible for defining, building, and evolving enterprise-grade Generative AI and Agentic AI platforms. We are looking for a senior technical leader with deep expertise in AI/ML architecture, cloud ecosystems, and scalable platform design.

Requirements

• Expert-level experience in AI/ML solution architecture in enterprise environments
• Strong proficiency in Azure Cloud, preferably Azure AI Foundry (or equivalent: AWS Bedrock, Vertex AI)
• Deep knowledge of LLMs (OpenAI, Anthropic Claude, Mistral, etc.) and their operational characteristics
• Proven experience with RAG and Agentic RAG (chunking, embeddings, vector stores such as Azure AI Search, pgvector)
• Hands-on experience with orchestration frameworks: LangChain, LangGraph, Semantic Kernel, Microsoft Agent Framework
• Strong programming skills in Python; solid understanding of SOLID principles and design patterns for AI systems
• Experience with Event-Driven Architecture and API integrations (REST/GraphQL)
• Knowledge of Kubernetes and DevOps/MLOps practices (Docker, Terraform, GitHub Actions, Azure DevOps)
• Strong understanding of security, governance, and compliance in AI systems
• Fluent or native-level Portuguese

Responsibilities

• Define and own the end-to-end agentic architecture (Agent Platform, Data & Knowledge, Security & Compliance, Governance, Human Oversight, Enterprise Integration)
• Design internal SDKs and API contracts ensuring modularity, scalability, and extensibility
• Select and justify technology stack (LLM gateway, orchestrator, vector store, cloud platform)
• Define integration strategies with enterprise systems (Jira, Confluence, GitHub, Teams, CI/CD pipelines)
• Evaluate multi-agent vs. single-agent approaches and document architecture decisions (ADRs)
• Ensure compliance by design (EU AI Act) and implement security controls (guardrails, RBAC, data masking, audit trails, prompt injection protection)
• Define identity management (Azure AD / OAuth2), agent sandboxing, and human-in-the-loop policies
• Lead red teaming exercises and establish risk and IP governance frameworks
• Implement quality gates across the agentic SDLC and define success metrics (ROI, cycle time, automation coverage, compliance SLAs)
• Oversee observability frameworks including dashboards, logging, and productivity reporting
• Mentor and guide GenAI Platform Engineers and Agentic Engineers
• Collaborate with Product Owners and stakeholders to prioritize technical backlogs
• Act as the senior technical authority in key client decision-making moments

Working Model: Hybrid

Locations

Lisbon, Porto

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