Ai Architect

Ageas Portugal; Lisboa; Presencial; EUR 110 000 - 150 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Azure AI Engineer / Solution Architect

Conference participation and thought‑f

Professional development sponsorship

Resumo da oferta

Inetum is seeking a Senior AI Architect to define the technology vision and lead AI/GenAI architecture across enterprise data and applications. You will drive secure, scalable solutions, lead technical excellence, and align AI programs with business goals.

The role requires deep experience in AI/GenAI, LLMs, pipelines, and multi‑cloud platforms, plus strong leadership and stakeholder collaboration. This position is based in Portugal with on-site work in Lisbon.

Qualificações

• Extensive experience in software development, architecture, data engineering or AI.
• Solid AI/ML and GenAI experience including LLMs and enterprise integration.
• Hands-on with Azure/AWS/GCP cloud and CI/CD pipelines.
• Strong knowledge of ML frameworks and model governance.

Responsabilidades

• Define the target architecture for AI ecosystems and ensure alignment with customer objectives.
• Lead workshops, discovery sessions, and technical assessments translating business needs into solutions.
• Design scalable, secure, high‑performance AI/GenAI architectures and PoCs.
• Collaborate with IT and Security to integrate AI across enterprise systems.

Conhecimentos

AI/GenAI

Technical leadership

Azure OpenAI

LLMs

Security & governance

CI/CD

Docker/Kubernetes

MLOps

Communication

Architectural standards

Ferramentas

TensorFlow

PyTorch

Scikit-learn

Azure

AWS

GCP

Docker

Kubernetes

APIs

Descrição da oferta de emprego

The Senior AI Architect will be responsible for defining the technological vision and leading the implementation of next‑generation Artificial Intelligence architectures. This role combines deep technical expertise, strategic thinking, and strong business alignment, ensuring that AI/GenAI solutions are scalable, secure, and deliver real impact.

Key Responsibilities

Architecture & Strategy

• Design the target architecture for AI ecosystems, including Copilots/Agents, Azure OpenAI, AI Search, data platforms, integrations, and pipelines, ensuring end‑to‑end alignment with customer objectives.
• Define technical standards, guardrails, security practices, domain blueprints, and architectural guidelines, ensuring cross‑organizational consistency.
• Translate business needs into structured technical solutions, leading workshops, discovery sessions, and technical assessments.
• Assess trade‑offs between performance, cost, risk, and complexity when defining AI/GenAI solutions.

Technical Design & Implementation

• Lead the design of scalable, secure, high‑performance AI/GenAI architectures.
• Select the appropriate technologies, frameworks, and models (LLMs, RAG, vector DBs, multi‑agent systems, MLOps, automation tooling).
• Build and validate PoCs and reference architectures to accelerate AI adoption.
• Integrate models, agents, and data pipelines with APIs, microservices, core business applications, and enterprise data sources.

Governance, Quality & Security

• Establish principles for technical security, data isolation, compliance, observability, and model governance.
• Ensure adherence to best practices in performance, resilience, scalability, and privacy.
• Define mechanisms for control, auditability, and continuous improvement of AI architectures in production.
• Work closely with IT and Security teams to ensure consistent integration with the customer’s enterprise architecture.
• Ensure architectural consistency across multiple AI use cases and domains, particularly in large‑scale AI programs.

Technical Leadership & Collaboration

• Act as a technical authority for internal and external stakeholders, including Data, Engineering, Product teams, and C‑level leadership.
• Mentor Data Scientists, ML Engineers, and Software Engineers, promoting technical excellence and best practices.
• Support pre‑sales, RFPs, solution proposals, and technology vision for strategic clients.

Profile

• 6–10 years of experience in software development, solution architecture, data engineering, or AI.
• Solid experience in AI/ML and GenAI, including LLMs, pipelines, RAG, and enterprise integration.
• Strong knowledge of ML frameworks such as TensorFlow, PyTorch, Scikit‑learn.
• Significant experience with Azure (preferred), AWS or GCP, CI/CD, Docker/Kubernetes, and microservices.
• Strong understanding of AI‑related security, cloud architectures, and MLOps practices.
• Excellent communication skills, both technical and non‑technical.
• Proven experience in technical leadership and architectural standards definition.

About Inetum

Inetum is a European leader in digital services. Inetum’s team of 28,000 consultants and specialists strive every day to make a digital impact for businesses, public sector entities and society. Inetum’s solutions aim at contributing to its clients’ performance and innovation as well as the common good.
Present in 19 countries with a dense network of sites, Inetum partners with major software publishers to meet the challenges of digital transformation with proximity and flexibility.
Driven by its ambition for growth and scale, Inetum generated sales of 2.5 billion euros in 2023.

Additional Information

• Experience in technology consulting and client interaction.
• Certifications such as Azure AI Engineer / Solution Architect, AWS ML Specialist, Google Cloud ML.
• Knowledge of architecture frameworks: TOGAF, DDD, Clean Architecture, SAFe.
• Participation in conferences, talks, or thought leadership initiatives.

Overview