AI Platform Engineer (Microsoft Foundry)

act digital; Porto; Presencial; EUR 55 000 - 85 000; Tempo integral

Resumo da oferta

act digital seeks an AI Platform Engineer to help design and evolve a modern enterprise AI platform, enabling teams across the organization to build and adopt AI solutions securely and efficiently.

You will contribute to building cloud-native AI applications on Microsoft Azure, integrating Azure OpenAI and Azure AI Services, and crafting scalable, secure architectures that support diverse business use cases across the organization.

Qualificações

• Experience developing cloud-native applications on Microsoft Azure.
• Hands-on experience with Generative AI, Large Language Models (LLMs), or AI Agents.
• Experience building AI-powered applications or intelligent automation solutions.
• Strong software development skills using Python, C#, or another modern programming language.
• Experience integrating APIs and enterprise systems.
• Strong communication skills and the ability to collaborate with multidisciplinary teams.

Responsabilidades

• Design, develop, and maintain enterprise-grade AI applications, intelligent assistants, and autonomous AI agents.
• Build scalable Generative AI solutions capable of supporting a wide range of business use cases.
• Develop Retrieval-Augmented Generation (RAG) architectures to deliver accurate, context-aware AI experiences.
• Create reusable AI services and components that accelerate AI adoption across multiple teams.
• Collaborate with development teams to embed AI capabilities into existing products and services.
• Support API integrations and orchestration between AI models and enterprise systems.
• Promote responsible, secure, and scalable AI adoption across the organization.

Conhecimentos

Python

C#

REST APIs

Cloud-Native Applications

Ferramentas

LangChain

Semantic Kernel

AutoGen

Azure OpenAI

Azure AI Services

Descrição da oferta de emprego

As an AI Platform Engineer, you'll contribute to the design and evolution of a modern enterprise AI platform, enabling teams across the organization to build and adopt AI solutions securely and efficiently.

• Design, develop, and maintain enterprise-grade AI applications, intelligent assistants, and autonomous AI agents.
• Build scalable Generative AI solutions capable of supporting a wide range of business use cases.
• Develop Retrieval-Augmented Generation (RAG) architectures to deliver accurate, context-aware AI experiences.
• Create reusable AI services and components that accelerate AI adoption across multiple teams.

Build on Microsoft Azure

• Develop cloud-native AI solutions using the Microsoft Azure ecosystem.
• Integrate Azure OpenAI, Azure AI Services, and other cloud-native capabilities into enterprise applications.
• Design scalable, secure, and resilient AI architectures aligned with enterprise best practices.
• Contribute to the continuous evolution of the organization's AI platform and reusable AI capabilities.
• Integrate AI services with enterprise applications, APIs, and internal platforms.
• Build intelligent workflows and AI-powered automation solutions that improve productivity and operational efficiency.
• Collaborate with development teams to embed AI capabilities into existing products and services.
• Support API integrations and orchestration between AI models and enterprise systems.
• Work closely with software engineers, architects, product teams, and business stakeholders to identify AI opportunities and deliver high-impact solutions.
• Contribute to AI platform strategy, architecture, standards, and best practices.
• Stay up to date with the latest advancements in Generative AI, Large Language Models, AI Agents, and Microsoft's AI ecosystem.
• Promote responsible, secure, and scalable AI adoption across the organization.

Required Experience

Experience developing cloud-native applications on Microsoft Azure.

Hands-on experience with Generative AI, Large Language Models (LLMs), or AI Agents.

Experience building AI-powered applications or intelligent automation solutions.

Strong software development skills using Python, C#, or another modern programming language.

Experience integrating APIs and enterprise systems.

Strong communication skills and the ability to collaborate with multidisciplinary teams.

Microsoft AI Ecosystem

Development

• Python
• C#
• REST APIs
• Cloud-Native Applications

Cloud

• Azure Identity (where applicable)

Nice to Have

Experience implementing Retrieval-Augmented Generation (RAG) architectures.

Knowledge of Model Context Protocol (MCP).

Experience with AI orchestration frameworks such as:

• Semantic Kernel
• LangChain
• AutoGen (or similar)

Experience with AI governance, observability, monitoring, evaluation, or responsible AI practices.

Familiarity with vector databases and semantic search technologies.

Experience deploying AI solutions into production environments.