20 beste vacatures voor de functie van ai developer in région de bruxelles capitale (nieuwe medewerkers gezocht)

AI Large Language Model (LLM) Technology Architect
Accenture —Brussel
- Voltijds
- Master
- Bachelor
- Machine learning
Ai-native Full-Stack Developer
Isabel NV —Brussel
- Voltijds
- Hybride werken
- Bachelor
- Linux
- Artificiële intelligentie
Snel solliciteren
Senior UX Researcher (100% Remote Worldwide)
Tether Operations Limited —Brussel
- Voltijds
- Thuiswerk
- Onderzoek
- Bachelor
- Artificiële intelligentie
Bare Developer (100% Remote - Worldwide) - C / JavaScript
Tether Operations Limited —Brussel
- Voltijds
- Thuiswerk
- C++
- Bachelor
- JavaScript
Data & AI Engineer
COSMOTE GLOBAL SOLUTIONS NV —Brussel
- Azure
- DevOps
- Artificiële intelligentie
Snel solliciteren
12 dagen
AI-native Software Development Engineer
Isabel NV —Brussel
- Voltijds
- Hybride werken
- Oracle
- Engels
- Java
Snel solliciteren
ServiceNow Automation Tester (Brussels)
Bridge 351 —Evere
- Hybride werken
- Engels
- Java
- Bachelor
3 dagen
Pod Developer — Product Pods — UFM Platform
Faubourg Mobility —Brussel
- € 60.000 - € 84.000 per jaar
- Voltijds
- Thuiswerk
- Azure
Snel solliciteren
3 dagen
Expert in AI/NLP/ML
EUROPEAN DYNAMICS —Brussel
- Voltijds
- Hybride werken
- Doctoraat
- DevOps
- Engels
Snel solliciteren
Software Development Engineer in Test (C++)
OpenVPN —Brussel
- Voltijds
- Thuiswerk
- C++
- Bachelor
- Linux
Snel solliciteren
Chief Architect – Banking & Financial Services, Enterprise Platforms & AI
Cognizant —Brussel
- Voltijds
- Hybride werken
- Azure
- AWS
- Machine learning
Full Stack .Net Software Engineer (all levels)
Innovation Sprint —Sint-Lambrechts-Woluwe
- Computerwetenschappen
- Azure
- Informatica
Senior Full Stack Developer - GenAI Solutions
Artefact —Brussel
- Engels
- Master
- Machine learning
CRM Functional Analyst Dynamics 365 & Power Platform
Orange Business —Evere
- Hybride werken
- Klantenservice
- Analytisch vermogen
- ICT
Sales Manager – GDPR & AI Act Compliance SaaS
Penguin Formula —Brussel
- Deeltijds
- Thuiswerk
- Verkoopervaring
- Engels
- Artificiële intelligentie
Snel solliciteren
VIE – Digital Builder & Performance Solutions Developer (H/F)– Belgique
TotalEnergies —Brussel-Hoofdstad
- Microsoft Excel
- Azure
- Informatica
9 dagen
Internship - Functional analyst - Technology Financial Services - (as of September 2026)
Accenture —Brussel
- Voltijds
- Master
- Analytisch vermogen
- Agile
AI Engineer
Smals —Brussel
- Voltijds
- Computerwetenschappen
- Master
- SQL
- Openbaar vervoer vergoeding
RCS Component Expert & Architect
Entico —Brussel-Hoofdstad
- Deeltijds
- Computerwetenschappen
- Informatica
- Onderzoek
.NET Developer (m/w/d)
Everience Benelux —Brussel
- Voltijds
- Hybride werken
- Azure
- SQL
- AWS
Snel solliciteren

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van ai developer in région de bruxelles capitale

Door in te loggen op je account, ga je akkoord met de Algemene voorwaarden van SimplyHired en stem je in met ons Cookie- en privacybeleid.

Zoek vacatures in meer locaties

ai developer jobs near région de bruxelles capitale

Vacatures voor een Data Engineer in Brussel

Vacatures voor een Ai Engineer in Brussel

Vacatures voor een Net Developer in Brussel

Vacatures voor een Enterprise Architect in Aalst

Vacatures voor een Communications Architect in Hoboken

Vacatures voor een Chief Accountant in Asse

Vacatures voor een Solution Architect in As

Vacatures voor een Data Engineer in Brussels

Vacatures voor een Data Engineer in Haren

Vacatures voor een Data Engineer in Antwerpen (provincie)

Vacatures voor een Data Engineer in Klein Willebroek

Vacatures voor een Ai Engineer in Brussels

Vacatures voor een Data Visa Sponsorship in Brussel

Vacatures voor een Data Analyst Internship in Brussel

Vacatures voor een Technical Analyst in Bruxelles Anderlecht

Vacatures voor een Junior Analyst in Brussel

Vacatures voor een Junior Developer in Limburg (provincie)

Vacatures voor een Angular Developer in Gent

Vacatures voor een Javascript Developer in Ghent

Vacatures voor een Javascript Developer in Bruxelles

AI Large Language Model (LLM) Technology Architect

Accenture -
Brussel

Nu solliciteren

Vacaturegegevens

Voltijds

Kwalificaties

Master
Bachelor
Machine learning
Deep learning
NLP
Artificiële intelligentie
Python

Volledige vacaturetekst

AI Large Language Model (LLM) Technology Architect

Career Level: Associate Manager / Specialist

Location: London

YOU ARE

As a hands-on AI/LLM Architect, you will be at the heart of designing and building advanced AI systems that power the modern enterprise. This is a deeply technical, hands-on role — you will spend the majority of your time in the architecture and engineering of real-world AI solutions across classical machine learning, generative AI, and agentic systems, delivering these within active client engagements.

You will translate requirements into concrete architecture decisions: selecting design patterns, evaluating and benchmarking technical frameworks, assembling reusable components, and making deliberate technology choices that balance innovation with enterprise-grade reliability. You will design and build AI agent architectures — including multi-agent orchestration, tool use, skills use, and memory systems — and work hands-on with foundation models through fine-tuning, retrieval-augmented generation (RAG), and custom model integration. A part of your work will also involve engineering the AI context layer that makes these systems intelligent in practice — connecting enterprise knowledge bases, structured and unstructured data sources, and domain-specific content so that AI outputs are grounded, accurate, and relevant to the client's business. You will design and validate systems against enterprise non-functional requirements across security, observability, governance, performance, and scalability. A core output of this role is the production of tangible engineering and architecture deliverables. This means writing and owning software components — building, integrating, and testing AI system modules as a practitioner — alongside producing detailed architecture artifacts including architecture decision records (ADRs), component diagrams, data flow diagrams, and integration specifications that guide and enable broader engineering teams.

You will work with cross-functional delivery teams alongside data engineers, ML engineers, and application developers, and this role is an opportunity to develop deep expertise across the full AI architecture stack, sharpen your engineering instincts on complex, real-world problems, and build a foundation for growing into a lead or principal architect over time.

THE WORK

Independently design, build, and deliver software components across the AI architecture — owning them end to end from design through implementation, integration, and testing as a hands-on practitioner

Design and build AI agent architectures — including individual agents, their prompts, tools, and skills, multi-agent orchestration, and memory systems — making deliberate design pattern and technology choices

Design and implement agent orchestration patterns that handle task handoffs, communication, state management, and error recovery, validating them through hands-on prototyping

Evaluate multiple design options and technical approaches, making deliberate, justified design choices that balance capability, cost efficiency, performance, and enterprise-grade reliability

Design, build, and run evaluation strategies and harnesses that measure agent and system quality on metrics such as accuracy, relevance, and faithfulness, translating findings into design improvements

Architect and implement foundation model integrations — selecting the right models, invocation patterns, and customization approaches (fine-tuning, RAG, custom integration) based on capability, cost, and performance trade-offs

Design and build model adaptation and fine-tuning pipelines, applying working knowledge of transformer-based architectures to inform model selection and optimization

Design and build the AI context layer — including context graph design and ingestion pipelines that parse, chunk, enrich, and index structured and unstructured enterprise content, and the retrieval components that ground AI outputs in the client's knowledge

Build embedding, vector storage, and retrieval (semantic, hybrid, reranking) into end-to-end RAG pipelines, applying integration patterns that connect to enterprise data sources

Design and implement context assembly and memory components that manage prompts, context windows, and conversational state for grounded, accurate outputs

Identify, design, and build reusable components and solution patterns that accelerate delivery and can be templated across engagements

Design for cost efficiency and performance — optimizing model usage, inference patterns, caching, and resource utilization to meet target latency, throughput, and cost objectives

Design, build, and validate systems against enterprise non-functional requirements — implementing guardrails, prompt-injection defenses, PII handling, and access controls for security and Responsible AI

Build governance controls including versioning, audit logging, and lineage tracking, and produce the model documentation that keeps systems auditable

Build observability into systems — logging, tracing, monitoring, alerting, and cost tracking — to ensure AI solutions remain healthy, performant, and scalable in production

Produce detailed architecture artifacts — including architecture decision records (ADRs), architecture blueprints, design documents, agent orchestration and integration pattern specifications, component and data flow diagrams — that guide and enable broader engineering teams

Continuously learn, evaluate, and apply new design patterns, frameworks, and technologies across the fast-evolving AI landscape, balancing innovation with enterprise-grade reliability

Collaborate with cross-functional delivery teams — data engineers, ML engineers, and application developers — to translate requirements into concrete architecture decisions that meet stakeholder needs

EDUCATION

Bachelor's Degree or equivalent

BASIC (REQUIRED) QUALIFICATION

Proven experience in designing & deploying enterprise grade advanced ai solutions using agentic, generative and classical AI/ML using at least one cloud vendor.

Practical experience in the Agentic, LLM and Generative AI space.

Well versed in coding using python

Solid foundation in architecting and operationalizing LLM driven application architecture patterns.

Professional working experience in coding engineering, machine learning, deep learning and NLP solutions and applications.

Several years of hands on experience as a machine learning architect in the industry designing big data, machine learning. large scale analytical engineering solutions.

Nu solliciteren

Verfijn je zoekopdracht

ai developer vacatures in région de bruxelles capitale

AI Large Language Model (LLM) Technology Architect

Ai-native Full-Stack Developer

Senior UX Researcher (100% Remote Worldwide)

Bare Developer (100% Remote - Worldwide) - C / JavaScript

Data & AI Engineer

AI-native Software Development Engineer

ServiceNow Automation Tester (Brussels)

Pod Developer — Product Pods — UFM Platform

Expert in AI/NLP/ML

Software Development Engineer in Test (C++)

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

Full Stack .Net Software Engineer (all levels)

Senior Full Stack Developer - GenAI Solutions

CRM Functional Analyst Dynamics 365 & Power Platform

Sales Manager – GDPR & AI Act Compliance SaaS

VIE – Digital Builder & Performance Solutions Developer (H/F)– Belgique

Internship - Functional analyst - Technology Financial Services - (as of September 2026)

AI Engineer

RCS Component Expert & Architect

.NET Developer (m/w/d)

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van ai developer in région de bruxelles capitale

Related Searches

Zoek vacatures in meer locaties

Tools voor werkzoekenden

Werkgeverstools

Bladeren

Blijf verbonden