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Senior AI Solutions Architect

MSI Technologies Inc.


Job Location:

Lisbon - Portugal

Monthly Salary: Not provided by the employer
Posted: 22 July 2026 (30+ days ago)
Application Deadline: 19 October 2026
Vacancies: 1 Vacancy

Job Summary

Senior AI Solutions Architect (Remote)
Professional Summary

We are seeking a highly experienced and hands-on Senior AI Solutions Architect to design and deliver enterprise-grade agentic AI solutions. This pivotal role involves leveraging Large Language Models (LLMs) and integrating them with critical business platforms such as ServiceNow ERP systems and data & analytics environments. The ideal candidate will translate complex business challenges into innovative AI-driven workflows automation and seamless system integrations ensuring solutions are secure scalable and production-ready. This is a 100% remote position requiring alignment with Portugal business hours (9:00 AM to 6:00 PM or 12:00 PM to 8:00 PM Portugal time).

Key Responsibilities
  • Design and define end-to-end architectures for enterprise Generative AI solutions.
  • Develop and implement agentic AI systems and multi-agent architectures.
  • Integrate AI solutions with enterprise platforms including ServiceNow Salesforce SAP Oracle and similar systems.
  • Collaborate with business and technical stakeholders to translate use cases into scalable AI-driven solutions.
  • Ensure solutions meet stringent production requirements for performance scalability security reliability and maintainability.
  • Define and implement AI safety strategies guardrails and risk mitigation approaches including grounding techniques and prompt injection prevention.
  • Evaluate and balance architectural trade-offs such as latency vs. accuracy and automation vs. human control.
Technical Requirements (Must-have)
Software Engineering Background
  • 5 years of software engineering experience.
  • Strong backend development expertise (Python preferred).
  • Proven experience designing and delivering Generative AI solutions in enterprise environments.
LLMs & Agentic AI Systems
  • Hands-on experience with LLMs (e.g. GPT-4o o-series models) within Microsoft Azure environments.
  • Strong understanding of:
    • Retrieval-Augmented Generation (RAG) and Grounding strategies.
    • Tool/function calling patterns.
  • Experience designing:
    • Agentic AI systems including Orchestrator architectures and Multi-agent architectures.
    • Workflow-based agents (LangGraph or similar).
Enterprise Integration
  • Experience integrating AI solutions with:
    • ServiceNow
    • Salesforce
    • ERP platforms (SAP Oracle or equivalent).
  • Strong knowledge of:
    • REST APIs.
    • Enterprise integration patterns.
    • OAuth.
    • Microsoft Entra ID.
    • RBAC.
  • Ability to design end-to-end workflows across multiple enterprise systems.
Architecture & Production Readiness
  • Experience with:
    • Performance Scalability Reliability Observability Logging Monitoring KPI definition.
    • AI safety mechanisms and operational guardrails.
  • Ability to balance business needs technical constraints and operational requirements.
Cloud & Engineering Practices
  • Experience with:
    • Microsoft Azure Azure OpenAI Azure AI Services.
    • Docker Azure Container Apps Azure App Services.
    • CI/CD pipelines (GitHub Actions).
Desired Skills (Nice-to-have)
  • Real-time AI systems
  • Voice solutions
  • Streaming architectures
  • WebSockets
  • Experience with other LLM providers like OpenAI Claude Gemini.
  • Knowledge of enterprise knowledge bases (SharePoint search indexes).
  • Experience with Conversational AI Chatbots Voice assistants.
  • Strong systems-thinking and problem-solving abilities.
  • Ability to translate complex business requirements into technical solutions.
  • High autonomy ownership and accountability.
  • Strong communication skills with technical teams and business stakeholders.