20 Beste vacatures voor de functie van integration lead developer (nieuwe medewerkers gezocht)

AI Large Language Model (LLM) Technology Architect
Accenture —Brussel
- Voltijds
- Master
- Bachelor
- Machine learning
13 dagen
MarTech Integration Developer
iO —Herentals
- Hybride werken
- Azure
- Marketing
- Salesforce
5 dagen
Business Development Manager Microsoft Cloud, Data & AI (Enterprise Focus)
Devoteam Belgium —Machelen
- Voltijds
- Hybride werken
- Azure
- Verkoopervaring
Snel solliciteren
Full stack .NET/Angular PrimeNG Developer
ARHS —Brussel
- Voltijds
- Hybride werken
- Systeem ontwerpen
- Databases
- Machine learning
Snel solliciteren
Product Owner & Team Leader - Aftermarket Applications
Atlas Copco Group —Antwerpen
- Master
- Softwareontwikkeling
- ICT
- Pensioensparen
Customer Experience Automation Expert
Mega Belgium —Leuven
- Marketing
- Engels
- Master
Software Specialist Integration
Mutualité Chrétienne —Schaarbeek
- Oracle
- Engels
- Java
- GSM-vergoeding
6 dagen
Software Engineer - AI/ML
KLA —Leuven
- Voltijds
- Computerwetenschappen
- Doctoraat
- Informatica
Product Delivery Manager
NGDATA —Gent
- Voltijds
- Management
- Engels
- Java
Snel solliciteren
8 dagen
Director, Product Management – Verification & Authentication
Proximus —Belgrade
- Voltijds
- Master
- Bachelor
- Productmanagement
CRM Functional Analyst Dynamics 365 & Power Platform
MasORange —Evere
- Voltijds
- Klantenservice
- Analytisch vermogen
- ICT
Senior Backend Developer, Java Specialist (remote, based in EU) - International client
The White Team —Brussel
- Thuiswerk
- Java
- Databases
- API's
5 dagen
Azure Infrastructure Architect (Client-Facing / Pre-Sales)
Proximus —Gent
- Voltijds
- Azure
- DevOps
- Communicatieve vaardigheden
Forgerock IDM Developer
ARHS —Brussel
- Voltijds
- Thuiswerk
- Azure
- Systeem ontwerpen
- Engels
Snel solliciteren
Frontend Software Engineer
AXA —Brussel
- Computerwetenschappen
- Azure
- Informatica
Product Owner API & SDK Platform
Octave Intelligence —Gent
- CAD
- Productmanagement
- Ter plaatse
8 dagen
Forward Deployed Engineer - Public Sector, Nonprofit & Education
Salesforce —Brussel
- Voltijds
- Computerwetenschappen
- Informatica
- Salesforce
13 dagen
Senior Infrastructure & Cloud Architect
Accenture —Brussel
- Voltijds
- Microsoft Excel
- Azure
- Master
9 dagen
.Net Application Architect
Smals —Brussel
- Voltijds
- SharePoint
- HTML
Full Stack Developers (Java & React)
ARHS Developments Belgium —Brussel
- Voltijds
- Oracle
- Systeem ontwerpen
- Java
Snel solliciteren

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van integration lead developer

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

integration lead developer jobs near

Vacatures voor een Product Owner in Gent

Vacatures voor een Developer in Herentals

Vacatures voor een Network Engineer in Brussels

Vacatures voor een Hse Engineer in Brussels

Vacatures voor een Python Developer in Malines

Vacatures voor een Net Developer in Gent

Vacatures voor een Junior Web Developer in Brussels

Vacatures voor een Laravel Developer in Gent

Vacatures voor een Salesforce Developer in Brussels

Vacatures voor een Technical Analyst in Moeskroen

Vacatures voor een Business Analyst in Wallonië

Vacatures voor een Technical Analyst in Turnhout

Vacatures voor een Data Engineer in Bruxelles

Vacatures voor een Cloud Engineer in Brussels

Vacatures voor een Cloud Engineer in Ghent

Vacatures voor een Security Engineer in Brugge

Vacatures voor een Cloud Engineer in Limbourg (province)

Vacatures voor een Product Owner in Vlaams Brabant

Vacatures voor een Product Designer in Mechelen

Vacatures voor een Product Owner in West Vlaanderen

AI Large Language Model (LLM) Technology Architect

Accenture -
Brussel

Nu solliciteren

Vacaturegegevens

Voltijds
13 dagen geleden

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

integration lead developer vacatures

AI Large Language Model (LLM) Technology Architect

MarTech Integration Developer

Business Development Manager Microsoft Cloud, Data & AI (Enterprise Focus)

Full stack .NET/Angular PrimeNG Developer

Product Owner & Team Leader - Aftermarket Applications

Customer Experience Automation Expert

Software Specialist Integration

Software Engineer - AI/ML

Product Delivery Manager

Director, Product Management – Verification & Authentication

CRM Functional Analyst Dynamics 365 & Power Platform

Senior Backend Developer, Java Specialist (remote, based in EU) - International client

Azure Infrastructure Architect (Client-Facing / Pre-Sales)

Forgerock IDM Developer

Frontend Software Engineer

Product Owner API & SDK Platform

Forward Deployed Engineer - Public Sector, Nonprofit & Education

Senior Infrastructure & Cloud Architect

.Net Application Architect

Full Stack Developers (Java & React)

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van integration lead developer

Related Searches

Zoek vacatures in meer locaties

Tools voor werkzoekenden

Werkgeverstools

Bladeren

Blijf verbonden