INTERNSHIP DETAILS
Senior AI Solutions Architect
CompanyMSI Technologies Inc.
LocationPortugal
Work ModeRemote
PostedJuly 21, 2026

Internship Information
Core Responsibilities
Design and deliver enterprise-grade agentic AI solutions and multi-agent architectures. Integrate these AI systems with business platforms like ServiceNow and ERP systems while ensuring security and scalability.
Internship Type
intern
Company Size
157
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
MSI is an international technology and consulting company with a deep level of knowledge and experience both in the mobile technologies market and in the new-tech sector in the Americas.
Mission:
Leverage deep market knowledge, experience, qualified staff, defined processes and global connections to deliver optimum solutions
Vision:
To expand the forefront of mobile, sustainable technology opportunities in the Americas.
Core Values:
- Diversity
- Sustainability
- Open to new ideas
- Ingenuity
- Timeliness
- Connecting People & Technology
- Quality
- Excellence through ISO-certified processes and practices
Customers:
Market leaders who shape the industry. #tech
About the Role
<h3 id="senior-ai-solutions-architect-remote">Senior AI Solutions Architect (Remote)</h3>
<h3 id="professional-summary">Professional Summary</h3>
<p>We are seeking a highly experienced and hands-on <strong>Senior AI Solutions Architect</strong> to design and deliver enterprise-grade, agentic AI solutions. This pivotal role involves leveraging <strong>Large Language Models (LLMs)</strong> 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).</p>
<h3 id="key-responsibilities">Key Responsibilities</h3>
<ul>
<li>Design and define end-to-end architectures for enterprise Generative AI solutions.</li>
<li>Develop and implement agentic AI systems and multi-agent architectures.</li>
<li>Integrate AI solutions with enterprise platforms including <strong>ServiceNow, Salesforce, SAP, Oracle</strong>, and similar systems.</li>
<li>Collaborate with business and technical stakeholders to translate use cases into scalable AI-driven solutions.</li>
<li>Ensure solutions meet stringent production requirements for performance, scalability, security, reliability, and maintainability.</li>
<li>Define and implement AI safety strategies, guardrails, and risk mitigation approaches, including grounding techniques and prompt injection prevention.</li>
<li>Evaluate and balance architectural trade-offs, such as latency vs. accuracy and automation vs. human control.</li>
</ul>
<h3 id="technical-requirements-must-have">Technical Requirements (Must-have)</h3>
<h3 id="software-engineering-background">Software Engineering Background</h3>
<ul>
<li><strong>5+ years of software engineering experience.</strong></li>
<li>Strong <strong>backend development expertise (Python preferred)</strong>.</li>
<li>Proven experience designing and delivering <strong>Generative AI solutions in enterprise environments</strong>.</li>
</ul>
<h3 id="llms--agentic-ai-systems">LLMs & Agentic AI Systems</h3>
<ul>
<li>Hands-on experience with <strong>LLMs (e.g., GPT-4o, o-series models) within Microsoft Azure environments</strong>.</li>
<li>Strong understanding of:<ul>
<li><strong>Retrieval-Augmented Generation (RAG)</strong> and <strong>Grounding strategies</strong>.</li>
<li><strong>Tool/function calling patterns</strong>.</li>
</ul>
</li>
<li>Experience designing:<ul>
<li><strong>Agentic AI systems</strong>, including Orchestrator architectures and Multi-agent architectures.</li>
<li><strong>Workflow-based agents (LangGraph or similar)</strong>.</li>
</ul>
</li>
</ul>
<h3 id="enterprise-integration">Enterprise Integration</h3>
<ul>
<li>Experience integrating AI solutions with:<ul>
<li><strong>ServiceNow</strong></li>
<li><strong>Salesforce</strong></li>
<li><strong>ERP platforms (SAP, Oracle, or equivalent)</strong>.</li>
</ul>
</li>
<li>Strong knowledge of:<ul>
<li><strong>REST APIs</strong>.</li>
<li><strong>Enterprise integration patterns</strong>.</li>
<li><strong>OAuth</strong>.</li>
<li><strong>Microsoft Entra ID</strong>.</li>
<li><strong>RBAC</strong>.</li>
</ul>
</li>
<li>Ability to design end-to-end workflows across multiple enterprise systems.</li>
</ul>
<h3 id="architecture--production-readiness">Architecture & Production Readiness</h3>
<ul>
<li>Experience with:<ul>
<li><strong>Performance, Scalability, Reliability, Observability, Logging, Monitoring, KPI definition</strong>.</li>
<li><strong>AI safety mechanisms</strong> and operational guardrails.</li>
</ul>
</li>
<li>Ability to balance business needs, technical constraints, and operational requirements.</li>
</ul>
<h3 id="cloud--engineering-practices">Cloud & Engineering Practices</h3>
<ul>
<li>Experience with:<ul>
<li><strong>Microsoft Azure, Azure OpenAI, Azure AI Services</strong>.</li>
<li><strong>Docker, Azure Container Apps, Azure App Services</strong>.</li>
<li><strong>CI/CD pipelines (GitHub Actions)</strong>.</li>
</ul>
</li>
</ul>
<h3 id="desired-skills-nice-to-have">Desired Skills (Nice-to-have)</h3>
<ul>
<li><strong>Real-time AI systems</strong></li>
<li><strong>Voice solutions</strong></li>
<li><strong>Streaming architectures</strong></li>
<li><strong>WebSockets</strong></li>
<li>Experience with other LLM providers like <strong>OpenAI, Claude, Gemini</strong>.</li>
<li>Knowledge of <strong>enterprise knowledge bases (SharePoint, search indexes)</strong>.</li>
<li>Experience with <strong>Conversational AI, Chatbots, Voice assistants</strong>.</li>
<li>Strong <strong>systems-thinking</strong> and <strong>problem-solving</strong> abilities.</li>
<li>Ability to translate complex business requirements into technical solutions.</li>
<li>High <strong>autonomy, ownership, and accountability</strong>.</li>
<li>Strong <strong>communication</strong> skills with technical teams and business stakeholders.</li>
</ul>
Key Skills
Generative AILLMsAgentic AI SystemsPythonMicrosoft AzureRAGLangGraphServiceNowSalesforceSAPOracleREST APIsOAuthMicrosoft Entra IDCI/CDDocker
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