20 beste vacatures voor de functie van domain architect ai in mechelen, vlg (nieuwe medewerkers gezocht)

AI Large Language Model (LLM) Engineer
Accenture —Brussel
- Voltijds
- Computerwetenschappen
- Informatica
- Master
14 dagen
Enterprise Technology Architect
Telenet —Mechelen
- Voltijds
- Hybride werken
Solution Architect
Telenet —Mechelen
- Voltijds
- Thuiswerk
- Engels
- Master
- Bachelor
AI Large Language Model (LLM) Technology Architect
Accenture —Brussel
- Voltijds
- Master
- Bachelor
- Machine learning
14 dagen
AI Large Language Mode (LLM) Technology Lead/Principal Architect
Accenture —Brussel
- Voltijds
- Master
- Assemblage
- Bachelor
14 dagen
AI Architect
Allianz —Brussel
- Voltijds
- Computerwetenschappen
- Azure
- Informatica
8 dagen
Technology Architect ( AI Platform)
Stanley/Stella —Oudergem
- Voltijds
- Azure
- JavaScript
- Productie
Junior Solution Architect
Datashift —Mechelen
- Engels
- Artificiële intelligentie
- Communicatieve vaardigheden
- Tankkaart
B2B AI Translator
Proximus —Bruxelles Schaarbeek
- Voltijds
- Microsoft Powerpoint
- Computerwetenschappen
- Azure
7 dagen
Senior/Lead AI Solution Architect - Brussels | BCG Platinion
Boston Consulting Group —Brussel
- Voltijds
- Computerwetenschappen
- Informatica
- Master
Cybersecurity Engineer – Junior (M/F/X)
Leonardo Belgium —Brussel
- Voltijds
- Computerwetenschappen
- Informatica
- Bachelor
Snel solliciteren
Data & AI governance expert
Telenet —Mechelen
- Voltijds
- Hybride werken
- Engels
- Master
- Artificiële intelligentie
Junior Solution Architect
Datashift NV —Mechelen
- Voltijds
- Hybride werken
- Engels
- Master
- Artificiële intelligentie
- Tankkaart
Snel solliciteren
Software Engineer - AI/ML
KLA —Leuven
- Voltijds
- Computerwetenschappen
- Doctoraat
- Informatica
Data & AI Senior Architect - Accenture Song
Accenture —Brussel
- Voltijds
- Computerwetenschappen
- Azure
- Informatica
AI Architect
Sopra Steria —Brussel
- Voltijds
- Azure
- Master
- AWS
Snel solliciteren
Full Stack Engineer (AI Platform / RBQM)
Clario —Leuven
- Voltijds
- DevOps
- AWS
- Machine learning
Solution Architect - Node.js, Vue & TypeScript
Sweco —Berchem
- Voltijds
- Azure
- Systeem ontwerpen
- AWS
Snel solliciteren
Enterprise Architect
Atlas Copco Group —Wilrijk
- Computerwetenschappen
- Informatica
- Master
- Pensioensparen
SAP Technical Architect
Capgemini Sogeti —Diegem
- ICT

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van domain architect ai in mechelen, vlg

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

domain architect ai jobs near mechelen, vlg

Vacatures voor een Full Stack Developer in Leuven

Vacatures voor een Network Engineer in Brussels

Vacatures voor een Hse Engineer in Brussels

Vacatures voor een Cloud Architect in 6040 Charleroi

Vacatures voor een Enterprise Architect in Bruxelles

Vacatures voor een Enterprise Architect in Brussels

Vacatures voor een Architect in Kortrijk

Vacatures voor een Enterprise Architect in Merelbeke

Vacatures voor een Software Architect in Hoeilaart

Vacatures voor een Ai Engineer in Antwerpen

Vacatures voor een Interior Architect in Bruxelles Etterbeek

Vacatures voor een Embedded Software Engineer in Gent

Vacatures voor een Plc Engineer in Dilbeek Groot Bijgaarden

Vacatures voor een Cybersecurity Consultant in Brussels

Vacatures voor een Cybersecurity Engineer in Mouscron

Vacatures voor een Solution Architect in Brussel

Vacatures voor een Architect in Deinze

Vacatures voor een Aws Solution Architect in Brussels

Vacatures voor een Architecte Solution H F in Bruxelles

Vacatures voor een Solution Architect in Antwerpen (provincie)

AI Large Language Model (LLM) Engineer

Accenture -
Brussel

Nu solliciteren

Vacaturegegevens

Voltijds
14 dagen geleden

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

Nu solliciteren

Verfijn je zoekopdracht

domain architect ai vacatures in mechelen, vlg

AI Large Language Model (LLM) Engineer

Enterprise Technology Architect

Solution Architect

AI Large Language Model (LLM) Technology Architect

AI Large Language Mode (LLM) Technology Lead/Principal Architect

AI Architect

Technology Architect ( AI Platform)

Junior Solution Architect

B2B AI Translator

Senior/Lead AI Solution Architect - Brussels | BCG Platinion

Cybersecurity Engineer – Junior (M/F/X)

Data & AI governance expert

Junior Solution Architect

Software Engineer - AI/ML

Data & AI Senior Architect - Accenture Song

AI Architect

Full Stack Engineer (AI Platform / RBQM)

Solution Architect - Node.js, Vue & TypeScript

Enterprise Architect

SAP Technical Architect

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van domain architect ai in mechelen, vlg

Related Searches

Zoek vacatures in meer locaties

Tools voor werkzoekenden

Werkgeverstools

Bladeren

Blijf verbonden