Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
Пожаловаться
Зарплата и рынок
ЗП не указана
На похожих ролях по рынку
$59к$64кмедиана$81к
6 в выборке
На СНГ рынке: $3.3к/мес ($2.2к - $4.3к)
82
Хорошая вакансия
развернуть
Чёткая архитектурная ответственность и подробные задачи в востребованной сфере AI делают вакансию привлекательной, хотя консалтинговый формат может означать работу с разными приоритетами клиентов.
Кликните для подробной информации
Клиентский форматСовременный стекЗона влияния
Оценка от Hirify AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Подключить Plus
Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
AI Architect (AI/Cloud/Data): Designing and governing the technical backbone for enterprise AI transformation, including cloud-based systems, data foundations, LLM solutions, and production AI platforms with an accent on scalability, security, reliability, and responsible AI. Focus on defining reference architectures, integrating and monitoring AI systems, controlling production costs, and managing technical risks across data, IT, and business teams.
Location: Porto, Portugal
Company
hirify.global develops solutions in Big Data, Digital Commerce, Marketing, Design, and Advisory services, collaborating with HUGO BOSS on the HUGO BOSS Digital Campus.
What you will do
Ensure technical consistency, portability, and architectural standards for AI solutions.
Establish scalable, reliable, secure, and trusted data and technology foundations with data, IT, and business stakeholders.
Advise on AI solution design, target architectures, build-or-buy decisions, models, vector stores, and orchestration frameworks.
Embed security, data privacy, GDPR, and EU AI Act requirements into reference architectures.
Draft technical specifications, track development, oversee acceptance testing, and coordinate AI system integration and scaling.
Define production monitoring, cost control, reliability, model updates, dependency management, governance forums, and technical risk mitigation.
Requirements
At least 3 years of professional experience in software engineering, data or ML engineering, cloud engineering, or IT architecture, including hands-on design of cloud-based production systems.
Experience building or contributing to an LLM-based solution involving RAG, agents, or orchestration frameworks, with understanding of model serving, data pipelines, and vector databases.
Daily use of AI-assisted development tools such as Claude Code, GitHub Copilot, or Cursor.
Experience contributing to architectural standards and reference architectures, and reviewing or challenging technical decisions made by engineers or vendors.
Experience with at least one major cloud provider: Azure, AWS, or GCP, including CI/CD, infrastructure as code, and containerization.
Solid software development skills, confidence reading and reviewing code, preferably Python, and the ability to explain technical constraints and risks to business and project stakeholders.
Fluent English is required.
Nice to have
Experience with Azure and Databricks.
DevOps or platform engineering experience, including Terraform or Bicep, Kubernetes, Azure DevOps, or GitHub Actions.
Experience with data architecture, including data warehousing, data lakes, lakehouses, governance, or related frameworks.
Experience with LLMOps practices such as evaluation, guardrails, prompt and model versioning, and monitoring of LLM applications.
Knowledge of security principles and AI governance frameworks, including GDPR and the EU AI Act.
Experience in international, consulting, or scale-up environments.
Culture & Benefits
Opportunity to design and build the technical backbone of a large-scale enterprise AI transformation.
Architectural ownership at the intersection of cloud infrastructure, data engineering, and applied AI.
Regular collaboration with senior technical and business stakeholders in an international organization.
Exposure to a broad range of AI tools, platforms, and frameworks.
Diverse team environment with peer learning, knowledge sharing, inclusion, and collaboration.
Hiring process
hirify.global contacts candidates only through verified LinkedIn recruiter profiles, @hirify.global.com email addresses, and its Recruitee Applicant Tracking System.
WhatsApp, social media messaging platforms, and personal accounts are not used for recruitment outreach.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →