10 melhores vagas de solution architect platform & automation (Contratando agora!)

Senior AI Solutions Architect
MSI Technologies Inc. —Lisboa
- Teletrabalho
Candidatura rápida
13 h
Technical Leader / Scrum Master
Capgemini —Lisboa
- Modelo Híbrido
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Technical Leader / Scrum Master
Capgemini Sogeti —Lisboa
- Modelo Híbrido
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Senior Security Engineer
OutSystems —Lisboa
- Período Integral
- Graduação
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Senior Data Engineer - Product
Feedzai —Lisboa
- Teletrabalho
Head of Development M/F
Crédit Agricole Assurances —Lisboa
- Mestrado
Head of Marketing
Easyship —Lisboa
- Período Integral
- Modelo Híbrido
Candidatura rápida
Demo Operations Engineer
TeamViewer Germany GmbH —4100 Porto
- Modelo Híbrido
Candidatura rápida
Há 4 dias
Professional Software Developer | Digital Twin
Körber AG —Maia
Há 1 dia
Principal Data Engineer
ComplyAdvantage —Lisboa
- Modelo Híbrido
Candidatura rápida
Há 6 dias

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Senior AI Solutions Architect

MSI Technologies Inc. -
Lisboa

Candidatura rápida

Detalhes da oferta

Há 13 horas

Descrição completa da oferta

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.

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solution architect platform & automation vagas

Senior AI Solutions Architect

Technical Leader / Scrum Master

Technical Leader / Scrum Master

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Senior Data Engineer - Product

Head of Development M/F

Head of Marketing

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