AI Architect
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Position Overview & Specifications
Our mission
At LOGEX, we help healthcare providers improve outcomes by transforming complex data into actionable insights. Our datasets span financial, operational and clinical domains across Europe and AI is becoming central to how we unlock value from this data.
We are building our AI capability in a deliberate, controlled way, aligned with the expectations of a regulated healthcare environment. As AI Architect, you will play a key role in shaping this journey.
This role shapes LOGEXβs AI journey β and makes sure AI capabilities are delivered into our products, with the teams, not just designed.
The role
As AI Architect, you define how AI is applied across LOGEX β from architecture and standards to real-world implementation. You ensure AI is not just designed, but successfully delivered into products and workflows.
This is a hands-on architecture role with a strong focus on execution. You will work closely with product, engineering, data and platform teams to bring AI capabilities into production and into the hands of customers.
Your impact and responsibilities
Shape LOGEXβs AI strategy, architecture and adoption roadmap
Define scalable AI patterns, standards and reference architectures
Ensure AI capabilities are embedded into products and actually shipped
Design AI solutions across retrieval, orchestration, model serving and evaluation
Establish AI governance, including monitoring, evaluation and human-in-the-loop
Define and implement MLOps / LLMOps practices for production reliability
Select tools, frameworks and make pragmatic build-vs-buy decisions
Prototype solutions to accelerate decision-making and de-risk delivery
Ensure AI solutions meet security, privacy and compliance standards (e.g. GDPR)
Identify and prioritise high-impact use cases across products and operations
Act as a senior AI voice towards leadership and engineering
Your profile
Strong experience in AI/ML engineering or AI architecture, including production deployments
Hands-on expertise with applied AI and modern LLM approaches (RAG, evaluation, orchestration)
Experience with MLOps / LLMOps, model serving and lifecycle management
Solid programming skills (e.g. Python) and strong data/software engineering fundamentals
Experience defining platforms, standards or architectures used by multiple teams
Understanding of AI governance, responsible AI and compliance requirements
Experience in regulated industries (e.g. healthcare, finance) is a plus
Strong communication skills and ability to bridge technical and business stakeholders
Why LOGEX?
25 vacation days (based on full-time employment) to recharge, with the option to purchase additional days
An informal working environment with motivated colleagues
The possibility to work in a hybrid setup
A laptop and everything you need to set up a comfortable and ergonomic home office
Personal and professional development opportunities through our LOGEX Academy
Access to our mental health partner, OpenUp
Regular after-work drinks and many more social events
Contact us!
You can apply via the button below and upload your CV. For more information, or in case you have any
questions, you can contact Wesley Schreuder at wesley.schreuder@
Our company is dedicated to building a workplace that promotes equity, diversity, and inclusion, and we believe that a diverse workforce is essential to our success. As we strive to create a workplace where everyone feels valued and respected, regardless of their race, gender, sexual orientation, age, religion, or any other characteristic, we encourage everyone to apply.
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Candidate Selection & Onboarding Process
Application & Resume Screening
Submit your tailored CV/Resume directly to the talent acquisition portal.
Technical & Competency Interviews
Virtual interviews with the hiring manager and multidisciplinary team.
Formal Offer & Benefits Negotiation
Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.
Onboarding & Corporate Integration
Equipment provisioning, team orientation, and commencement of duties.
United States Work Authorization & Sponsorship Guide
Under United States immigration law (INA Β§ 101(a)(15)(H)), foreign nationals seeking full-time professional positions typically navigate either non-immigrant specialty occupation classifications or immigrant visa sponsorship:
Requires a relevant Bachelor's degree or higher. Employers must file an approved Labor Condition Application (LCA) with the US Department of Labor confirming the prevailing wage rate.
Canadian and Mexican citizens qualify under USMCA (TN status). F-1 STEM graduates benefit from 36-month aggregate work authorization through E-Verify enrolled employers.
Candidate Preparation Blueprint: Technology
Based on transatlantic hiring benchmarks for AI Architect roles across LOGEX's corporate sector, successful applicants typically excel across three core dimensions:
Demonstrated portfolio evidence, architecture/system design case studies, or validated professional certifications directly applicable to Technology.
STAR method competency responses highlighting cross-functional leadership, conflict resolution, and delivering measurable enterprise ROI under tight timelines.
Total compensation expectation aligned within the benchmarked Salary Disclosed on Application bracket, including retirement vesting and health parity.
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