AI Engineering Director – Amsterdam (Hybrid) | Visa + Salary Insights
📍 Location: nl
🏷 Type: Not specified
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Job Overview
This Senior-Level AI Engineering Director role sits at the intersection of LLM systems, agentic architectures, and production AI engineering. Based in Amsterdam (Hybrid), the position is designed for a 5+ years leadership, 10+ years engineering professional who can both architect and build. You will lead the creation of a full AI engineering practice, owning technical direction, hiring, and delivery. Ideal candidates combine hands-on coding expertise with strategic leadership, capable of shipping enterprise-grade AI systems for high-profile clients.
🌍 Work Eligibility & Location
- 🌍 Visa Sponsorship: Not explicitly stated
- ✈️ Relocation Support: Not specified
- 🏠 Remote Type: Hybrid
- ⏰ Timezone Requirement: European business hours
- 🌐 Country Restrictions: Likely EU/Netherlands aligned
- 🗣️ Language Requirement: English (Fluent)
This is a Hybrid leadership role anchored in Amsterdam, requiring consistent collaboration with leadership and clients. While visa sponsorship is not clearly confirmed, senior candidates with EU work eligibility will have an advantage. The structure supports limited flexibility, including short-term remote work abroad, but core responsibilities demand presence for client-facing and leadership interactions.
💰 Salary Intelligence
- 💰 Official Salary: Not disclosed
- 📊 Estimated Range: €130,000 – €190,000 + profit share
- 📈 Level: Senior-Level / Director Track
Although no fixed salary is listed, this role aligns with Director-level AI leadership compensation in Europe. The addition of profit-share and equity mechanisms significantly increases upside potential, especially given ownership of a full practice. Compared to standard enterprise roles, this package is highly competitive for candidates seeking long-term financial leverage and leadership autonomy.
📊 Role Breakdown
This position blends technical execution (40%), team leadership (25%), product and accelerator development (20%), and client engagement (15%). You will directly architect and deploy AI systems using technologies like LLMs, RAG pipelines, agent frameworks, and evaluation systems. A major component involves building reusable AI accelerators that standardize delivery.
You will also define engineering standards, conduct code reviews, and ensure high-quality system design across projects. On the leadership side, you are responsible for hiring, mentoring, and scaling a high-performing AI engineering team within 12 months. Additionally, you will collaborate with executives to translate business problems into scalable AI architectures, positioning yourself as both a technical authority and strategic partner.
🧩 Required Skills & Fit
- ✅ Must: 10+ years software engineering experience
- ✅ Must: Deep expertise in LLMs, RAG, agentic systems
- ✅ Must: Proven track record shipping production AI systems
- ➕ Bonus: Experience as CTO or Principal Engineer
- ➕ Bonus: Consulting or client-facing technical leadership
📈 Difficulty & Competitiveness
- ⚡ Level: Highly Competitive
- 📊 Experience barrier: 10+ years
- 🧠 Skill complexity: Advanced AI + Leadership
- 🌍 Competition: Global senior talent pool
This is a high-bar Director-track role targeting candidates with both deep technical depth and organizational leadership experience. The requirement of 10+ years combined with cutting-edge AI system expertise significantly narrows the candidate pool. Expect competition from ex-startup CTOs, senior staff engineers, and AI research-to-production specialists. Success requires demonstrating both hands-on system delivery and team scaling capability.
🚀 Career Impact
- ⭐ Impact Rating: ⭐⭐⭐⭐☆
- 🏢 Brand value: High-growth consulting innovator
- 📚 Skill growth: Full-stack AI leadership
- 🚀 Future opportunities: CTO, AI Practice Head
This role offers exceptional career acceleration into executive AI leadership. You will gain ownership over practice building, product development, and enterprise AI delivery, positioning you for future roles such as CTO, VP of AI, or Global AI Practice Leader. The exposure to C-level stakeholders and responsibility for revenue-linked outcomes strengthens both technical credibility and commercial leadership.
📋 Key Responsibilities
You will design and deploy production AI systems leveraging LLMs, RAG pipelines, and agentic architectures. A core responsibility is to own system architecture decisions, ensuring scalability and reliability. You will also lead engineering teams, conducting hiring, mentoring, and performance calibration.
Additionally, you are expected to build reusable AI accelerators, such as evaluation frameworks and deployment templates. On the client side, you will translate business challenges into technical solutions and actively participate in C-level discussions. Maintaining high standards through code reviews, technical governance, and delivery excellence is critical to success.
🎯 Application Strategy
- 🎯 Best apply method: Direct via company website
- 🔥 Highlight: Production LLM system deployments
- 🔥 Highlight: Leadership in scaling engineering teams
- ❌ Avoid: Overemphasis on research without production impact
- ❌ Avoid: Generic leadership claims without metrics
🧠 Application Optimization (Adaptive)
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AI Engineering Director leading LLM systems, team scaling, and production AI delivery
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📅 Application Signals
This role signals high urgency due to its strategic importance in building a new AI practice. Hiring is likely selective and ongoing until the right candidate is found. Expect intense competition from globally experienced AI leaders. Early application with a strong portfolio demonstrating production AI systems and leadership outcomes will significantly improve your chances.
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✅ Job Source & Verification
This job posting originates from the company’s official careers page, ensuring high source credibility. Details have been cross-referenced with the employer’s public description and role expectations. Last updated: May 2026. Candidates should verify application links directly on the company website to ensure accuracy and avoid outdated listings.
