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🟒 Actively Hiring Β· Posted Today ⏳ Closes in 60 days US Corridor πŸ›‘οΈ US Work Authorization 🏒 MID

AI Architect

🏒 LOGEX β€’ πŸ“ Hamburg, Hamburg, Germany β€’ πŸ•’ Oct 8, 2026
Salary Range
Salary Disclosed on Application
Full Benefits Package

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This vacancy has been independently reviewed by the OppaJob Transatlantic Career Intelligence Desk to confirm authentic direct employer recruiting, verify compensation transparency, and eliminate applicant processing fees.

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Corporate Registration Verified IRS EIN & State Corporate Entity standing confirmed
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Prevailing Wage Benchmark US DOL Fair Labor Standards Act (FLSA) aligned
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Zero-Intermediary Direct Pipeline Direct candidate ATS submission. 100% free with zero recruitment charges.
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Corridor Right-to-Work Match US Work Authorization

Transatlantic Cost of Living & Purchasing Power Benchmark

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Location Base
Hamburg, Hamburg, Germany
Tier-1 US Economic Zone
Est. Take-Home Pay
72% - 78% (After Federal/State Tax)
Single tax filer baseline
Transatlantic Parity
1.0 USD β‰ˆ Β£0.79 GBP Living Standard
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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 LOGEX’s 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 LOGEX’s 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

1

Application & Resume Screening

Submit your tailored CV/Resume directly to the talent acquisition portal.

2

Technical & Competency Interviews

Virtual interviews with the hiring manager and multidisciplinary team.

3

Formal Offer & Benefits Negotiation

Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.

4

Onboarding & Corporate Integration

Equipment provisioning, team orientation, and commencement of duties.

United States Work Authorization & Sponsorship Guide

Corridor Intelligence

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:

πŸ‡ΊπŸ‡Έ H-1B Specialty Occupation & Cap

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.

⚑ TN / O-1 / STEM OPT Pathways

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.

βš–οΈ Official regulatory reference: USCIS Working in the US & US DOL Foreign Labor Certification.

Candidate Preparation Blueprint: Technology

Recruitment Insights

Based on transatlantic hiring benchmarks for AI Architect roles across LOGEX's corporate sector, successful applicants typically excel across three core dimensions:

1. Domain Competency

Demonstrated portfolio evidence, architecture/system design case studies, or validated professional certifications directly applicable to Technology.

2. Behavioral & Leadership

STAR method competency responses highlighting cross-functional leadership, conflict resolution, and delivering measurable enterprise ROI under tight timelines.

3. Compensation Alignment

Total compensation expectation aligned within the benchmarked Salary Disclosed on Application bracket, including retirement vesting and health parity.

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Hiring Organization
LOGEX

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Location: Hamburg, Hamburg, Germany
Eligibility: US Work Authorization
Schedule: MID
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