11 meilleures offres (python developer ai) (à pourvoir)

AI Large Language Model (LLM) Technology Architect
Accenture —Bruxelles
- Temps plein
- Master
- Bachelier
- Machine learning
il y a 7 jours
GCP Data Engineer
Accenture —Bruxelles
- Temps plein
- Microsoft Excel
- Master
- Machine learning
AI Engineer
Smals —Bruxelles
- Temps plein
- Informatique
- Master
- SQL
- Aide au transport quotidien
Machine Learning Engineer
Smals —Bruxelles
- Temps plein
- Informatique
- Azure
- Master
- Aide au transport quotidien
Enterprise Solutions Engineer - Belgium
ElevenLabs —Belgique
- Temps plein
- Télétravail
- Bureau
- Développement logiciel
- IT
Deployment Strategist - Belgium
ElevenLabs —Belgique
- Temps plein
- Travail hybride
- Vente
- Master
- APIs
Infrastructure Security Engineer
ElevenLabs —Belgique
- Temps plein
- Télétravail
- HIPAA
- Recherche
- AWS
Senior Expert Software Engineer
Euroclear —Belgique
- Disponible le week-end
- Azure
- Oracle
- Anglais
Deployment Strategist Lead - Belgium
ElevenLabs —Belgique
- Temps plein
- Vente
- APIs
- Python
ServiceNow Automation Tester
Serco Plc —Bruxelles-Capitale
- Temps plein
- Travail hybride
- Anglais
- Java
- Bachelier
1 h
ServiceNow Automation Tester
Serco Plc —Bruxelles-Capitale
- Temps plein
- Travail hybride
- Anglais
- Java
- Bachelier
1 h

More jobs to discover

Find similar jobs that you might be interested in.

GCP Data Engineer
Accenture —Bruxelles
Bonus program: Recognizing and rewarding your exceptional contributions to the team's success. Proven experience (at least 5 years) in multicultural and…
Software Engineer, Data Infrastructure & Acquisition - Ghent, Belgium
Speechify —Gand
Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP).
De 30 000 € à 100 000 € par an
il y a 10 jours

Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : python developer ai

En vous connectant à votre compte, vous acceptez les Conditions d'utilisation de SimplyHired et consentez à notre Politique relative aux cookies et Politique de confidentialité.

Afficher des offres d'emploi dans d'autres lieux

python developer ai jobs near

Ai Engineer, Brussel : emplois

Shift Leader, Lier : emplois

Shift Labo, Antwerpen (provincie) : emplois

Team Leader, 3500 Hasselt België : emplois

12 Uur Shift Weekend, Antwerpen : emplois

Shift Leader, Laakdal : emplois

Infrastructure Engineer, Zaventem : emplois

Automation Engineer, Eeklo : emplois

Automation Engineer, Geel : emplois

Test Automation Engineer, Brussels : emplois

Machine Learning Engineer, Sint Lievens Houtem : emplois

Machine Learning Engineer, Willebroek Tisselt : emplois

Machine Learning Engineer, Antwerpen : emplois

Machine Learning Engineer, Mechelen Hombeek : emplois

Automation Engineer, Gent : emplois

Automation Engineer, Schoten : emplois

Automation Engineer, Leuven : emplois

Automation Engineer, Mechelen : emplois

Automation Engineer, Antwerpen (provincie) : emplois

Data Engineer, Antwerpen (provincie) : emplois

AI Large Language Model (LLM) Technology Architect

Accenture -
Bruxelles

Soumettre votre candidature

Détails de l'emploi

Temps plein
Il y a 7 jours

Qualifications

Master
Bachelier
Machine learning
Deep learning
NLP
Intelligence artificielle
Python

Description complète du poste

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.

Soumettre votre candidature

Affinez votre recherche

python developer ai emplois

AI Large Language Model (LLM) Technology Architect

GCP Data Engineer

AI Engineer

Machine Learning Engineer

Enterprise Solutions Engineer - Belgium

Deployment Strategist - Belgium

Infrastructure Security Engineer

Senior Expert Software Engineer

Deployment Strategist Lead - Belgium

ServiceNow Automation Tester

ServiceNow Automation Tester

More jobs to discover

Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : python developer ai

Related Searches

Afficher des offres d'emploi dans d'autres lieux

Outils pour les chercheurs d'emploi

Outils Employeurs

Parcourir

Garder le contact