20 beste vacatures voor de functie van ai capability lead architect in diegem, vlg (nieuwe medewerkers gezocht)

AI Large Language Model (LLM) Engineer
Accenture —Brussel
- Voltijds
- Computerwetenschappen
- Informatica
- Master
Cloud Data Architect - Consultant
MasORange —Evere
- Voltijds
- Computerwetenschappen
- Azure
- Doctoraat
Senior AI Engineer - Consultant
Orange Business —Evere
- Hybride werken
- Azure
- DevOps
- ERP systemen
Senior AI Engineer - Consultant
MasORange —Evere
- Voltijds
- Azure
- DevOps
- ERP systemen
Chief Architect – Banking & Financial Services, Enterprise Platforms & AI
Cognizant —Brussel
- Voltijds
- Hybride werken
- Azure
- AWS
- Machine learning
AWS Cloud Architect
Devoteam Belgium —Machelen
- Voltijds
- Hybride werken
- Tweetalig
- Computerwetenschappen
- Informatica
Snel solliciteren
Tribe Manager Microsoft - Data & Analytics
Devoteam Belgium —Machelen
- Voltijds
- Hybride werken
- Azure
- Management
- AWS
Snel solliciteren
Senior Infrastructure & Cloud Architect
Accenture —Brussel
- Voltijds
- Microsoft Excel
- Azure
- Master
AI Engineer
Accenture —Brussel
- Voltijds
- Master
- Bachelor
- Machine learning
2 dagen
Cloud Data Architect - Consultant
Orange Business —Evere
- Hybride werken
- Computerwetenschappen
- Azure
- Doctoraat
Solution Manager / Solution Architect Enterprise Risk Management Platforms - Financial Services
EY —Diegem
- Deeltijds
- Computerwetenschappen
- Azure
- Informatica
Senior Data AI Engineer
Eviden —Zaventem
- Thuiswerk
- Azure
- Onderzoek
- Master
- Tankkaart
Azure Data Architect
Datashift —Mechelen
- Computerwetenschappen
- Azure
- Informatica
Senior Data AI Engineer
Atos —Zaventem
- Thuiswerk
- Azure
- Onderzoek
- Master
- Tankkaart
Cloud Solution Architect - Consultant
MasORange —Evere
- Voltijds
- Azure
- Java
- Master
ServiceNow Architect
Fujitsu —Diegem
- CAD
Logistics Specialist | Life Sciences
Capgemini Sogeti —Diegem
- Tweetalig
- ERP systemen
- AWS
1 dag
Google Data Solution Architect
Devoteam G Cloud Belgium —Machelen
- Voltijds
- Hybride werken
- Systeem ontwerpen
- Engels
- AWS
- Tankkaart
Snel solliciteren
ServiceNow Architect
Devoteam Belgium —Machelen
- Voltijds
- Hybride werken
- CAD
- AWS
- Softwareontwikkeling
Snel solliciteren
Cloud-Native Software / Solutions Architect
Devoteam Belgium —Machelen
- Voltijds
- Hybride werken
- Azure
- Java
- Master
Snel solliciteren

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van ai capability lead architect in diegem, vlg

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AI Large Language Model (LLM) Engineer

Accenture -
Brussel

Nu solliciteren

Vacaturegegevens

Voltijds

Kwalificaties

Computerwetenschappen
Informatica
Master
Bachelor
Machine learning
Deep learning
NLP
Artificiële intelligentie
Python

Volledige vacaturetekst

As a hands on AI Engineer, you will be at the heart of designing and building the components that make up advanced AI systems powering the modern enterprise. This is a deeply technical, hands-on engineering role — you will spend the majority of your time in the detailed design, development, integration, and testing of AI system components across classical machine learning, generative AI, and agentic systems, delivering these within active client engagements.

You will take detailed architecture and design specifications and translate them into working, production-quality software components. This means writing clean, well-structured code, making low-level design decisions within your assigned scope, and ensuring your components integrate reliably within the broader AI system. You will build and wire together the constituent parts of AI agent systems — including individual agent logic, tool integrations, skills, and memory components — and contribute to the development and integration of foundation and classical ML models into end-to-end pipelines.

A hands-on curiosity for the open source ecosystem is essential in this role. You will continuously evaluate, learn, and adopt relevant open source libraries and frameworks — such as those spanning agent orchestration, vector storage, model serving, and ML pipelines — selecting and applying the right ones for the problem at hand. Equally, you will configure, integrate, and operationalize third-party AI technologies and platform services, understanding their capabilities and constraints deeply enough to make them work reliably within the context of a larger enterprise system. You will engineer components with enterprise-grade qualities in mind, ensuring your work meets defined requirements across security, observability, governance, performance, and scalability. You will write and maintain the technical artifacts that accompany your engineering work — including low-level design documents, component specifications, and integration contracts — ensuring your work is well-documented, testable, and handoff-ready. You will operate as a practitioner within cross-functional delivery teams alongside data engineers, ML engineers, and application developers, taking direction from lead and principal architects while contributing meaningfully to technical problem-solving and design discussions within your domain. This role is an opportunity to build deep, hands-on expertise across the AI engineering stack, develop strong software engineering fundamentals applied to cutting-edge AI systems, and grow toward a lead engineer or architect role over time.

THE WORK

Design, build, and configure individual agents — including their prompts, tools, and skills — and integrate them into multi-agent workflows

Implement agent orchestration logic that handles task handoffs, communication, and error recovery

Build evaluation harnesses and test suites that measure agent and component quality on metrics such as accuracy, relevance, and faithfulness, and share findings to inform design improvements

Integrate foundation models into applications, selecting the appropriate model and invocation pattern for each use case

Build and run model fine-tuning pipelines — including data preparation and training — to adapt models to specific business domains, applying working knowledge of transformer-based architectures

Build ingestion pipelines that parse, chunk, enrich, and index unstructured enterprise content for retrieval

Implement embedding generation, integrate vector databases, and develop retrieval components, including connectors and adapters that process unstructured content into end-to-end RAG pipelines

Build the logic that assembles prompts and manages what information is passed to the model within its context window

Implement memory components that store and recall conversational history and other relevant context

Implement input/output guardrails, content filtering, and defenses against prompt injection

Build PII detection and redaction components and integrate access controls for model and tool access

Implement versioning, audit logging, and lineage tracking, and maintain model documentation that keeps the system auditable

Instrument components with logging and tracing for requests, responses, token usage, and tool calls

Contribute to monitoring, alerting, and cost tracking that keep AI systems healthy in production

Continuously learn and apply new design patterns, technologies, and frameworks across the fast-evolving AI landscape, bringing fresh approaches to the components you build

Collaborate within cross-functional teams to clarify requirements and ensure your components meet stakeholder needs

Create and maintain clear technical documentation for the components you build, supporting troubleshooting and future development

EDUCATION

Bachelor's Degree in Computer Science, Computer Engineering, Data Science, or a related engineering discipline

BASIC (REQUIRED) QUALIFICATION

Experience (work or coursework) in designing, coding, building advanced AI solutions using agentic, generative and classical AI/ML using at least one cloud vendor.

Experience (work or coursework in the Agentic, LLM and Generative AI space.

Experience (work or coursework) architecting and operationalizing LLM driven application architecture patterns.

Experience in coding and engineering, machine learning, deep learning and NLP solutions and applications.

Coding experience using Python

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Verfijn je zoekopdracht

ai capability lead architect vacatures in diegem, vlg

AI Large Language Model (LLM) Engineer

Cloud Data Architect - Consultant

Senior AI Engineer - Consultant

Senior AI Engineer - Consultant

Chief Architect – Banking & Financial Services, Enterprise Platforms & AI

AWS Cloud Architect

Tribe Manager Microsoft - Data & Analytics

Senior Infrastructure & Cloud Architect

AI Engineer

Cloud Data Architect - Consultant

Solution Manager / Solution Architect Enterprise Risk Management Platforms - Financial Services

Senior Data AI Engineer

Azure Data Architect

Senior Data AI Engineer

Cloud Solution Architect - Consultant

ServiceNow Architect

Logistics Specialist | Life Sciences

Google Data Solution Architect

ServiceNow Architect

Cloud-Native Software / Solutions Architect

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van ai capability lead architect in diegem, vlg

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