Mohamad Amin Al Hajj

AI Development Manager and Senior AI Specialist | GenAI Platform and Portfolio CV

Utrecht, Netherlands | +31 6 8254 9483 | aminalhajj.mohamad@gmail.com | linkedin.com/in/mohamad-amin-al-hajj | github.com/mohamad1014

Public CV reviewed .

Download this CV as a tagged PDF

Profile

AI Development Manager and Senior AI Specialist with 6+ years of AI experience at SKF across industrial engineering, generative AI, optimization, and decision support. Delivered SKF's first customer-facing GenAI product assistant and AI recommendation/optimization in engineering software. With Sferical AI, led evaluation of local GPU-cluster options in Sweden, including NVIDIA 300-series GPU racks and NVIDIA Run:ai, for sovereign and high-confidentiality workloads. Current scope is sovereign open-model evaluation and deployment planning; no completed production rollout is claimed. Leads AI Innovation & Enablement within SKF's AI Center of Excellence, managing four direct reports across the Netherlands and Sweden and coordinating delivery with consultants from Tata Consultancy Services (TCS). Combines people leadership, portfolio prioritization, business-case development, and technical judgment to turn opportunities into scoped AI initiatives.

Architecture and Portfolio Themes

  • Reference GenAI platform patterns for RAG and multi-agent assistant systems: ingestion, chunking, embeddings, retrieval, guarded generation, tool routing, evaluation, monitoring, and cost/latency controls.
  • Reusable components for prompt patterns, orchestration layers, retrieval adapters, tracing, delivery automation, and governed rollout.
  • Model strategy across Azure OpenAI, DeepSeek, Mistral, HuggingFace, and open models, with fallback, security, latency, and governance considerations.
  • Shaping AI enablement across software development and embedded AI, connecting practical guidance, team capabilities, and adoption priorities. Practical software-development guidance is delivered; broader programs and embedded AI remain planned.
  • Leading the development of sovereign AI capabilities for sensitive industrial workloads, spanning open models, infrastructure, and deployment planning. Sferical AI collaboration includes local GPU-cluster evaluation in Sweden, NVIDIA 300-series GPU racks, and NVIDIA Run:ai; production rollout is not claimed.

Selected Impact

  • Delivered SKF's first customer-facing GenAI product assistant and AI recommendation/optimization in engineering software.
  • With Sferical AI, evaluated local GPU-cluster options in Sweden, including NVIDIA 300-series GPU racks and NVIDIA Run:ai; sovereign open-model evaluation and deployment planning are ongoing.
  • Leads four direct reports across the Netherlands and Sweden and coordinates delivery through a partnership with Tata Consultancy Services (TCS) consultants.
  • Delivered RAG monitoring and evaluation for GenAI products; product assistant ownership remains with AI Products, with current specialist support coordinated across teams.
  • Leads a permission-aware R&D Library integration proof of concept; the recorded accessible test subset contains 290 PDFs, not the full library or a production rollout.

Professional Experience

Oct 2025 - Present | SKF BV | AI Development Manager and Senior AI Specialist

  • Leads AI Innovation & Enablement within SKF's AI Center of Excellence, managing four direct reports across Houten, Netherlands, and Gothenburg, Sweden, and coordinating delivery with TCS consultants through a partnership.
  • With Sferical AI, led evaluation of local GPU clusters in Sweden, including NVIDIA 300-series GPU racks and NVIDIA Run:ai for sensitive workloads; sovereign open-model evaluation and deployment planning are ongoing.
  • Leads an expert-knowledge preservation pilot and a permission-aware R&D Library integration proof of concept; both remain ongoing feasibility work.
  • Applies business-value, desirability, feasibility, and resource-readiness criteria to opportunities, and contributes to AI CoE strategic objectives and 2027 planning.
  • Also led the Virtual Testing test-specification MVP, a delivered scope of approximately 1,000 historical reports now in maintenance/support.
  • Delivered practical guidance, training, and workspace foundations for AI-assisted software development. Broader enablement and embedded-AI programs remain proposed or resource-dependent.

2023 - Oct 2025 | SKF BV | Senior AI Specialist and Team Lead

  • Led enterprise GenAI chatbot solutions, reusable reference architectures, and AI governance structures aligned to AI Act readiness.
  • Built and deployed RAG and multi-agent assistants using Azure OpenAI, LangChain, Semantic Kernel, Azure AI Search, Azure Functions, and Harness engineering tools.
  • Used Credo.ai workflows, documented controls, monitoring, and security practices for practical AI governance.
  • Collaborated across product, engineering, data, and security while supporting internal training on Transformers and modern AI delivery.

2020 - 2023 | SKF BV | AI Specialist

  • Developed regression, forecasting, recommendation, and optimization systems used in software applications.
  • Built NLP-driven market intelligence pipelines and contributed to data fusion and condition monitoring work.

2019 | SKF GmbH and Politecnico di Torino | Research Intern

  • Worked on condition-based monitoring for robotic gearboxes using ML for vibration analysis and anomaly detection.

Core Skills

Generative AI and LLMs: RAG, multi-agent orchestration, prompt engineering, fine-tuning, evaluation, guardrails, LLMOps. Platforms: Azure OpenAI, Azure AI Search, Azure Functions, AWS Lambda, SageMaker, Databricks, MLflow, Pinecone, Docker, Harness engineering tools. Engineering: Python, C#, SQL, CI/CD, GitHub, Spark, Snowflake, Power BI, MCP-enabled coding workflows. Governance and enablement: Credo.ai, AI Act readiness, access controls, auditability, team training, stakeholder alignment, coaching.

Selected Projects

  • Product Assistant: customer-facing multi-agent product assistant for L1/L2 technical questions using open SKF data, SOTA RAG, and an orchestration layer developed with Harness engineering tools.
  • Knowledge Search Assistant: internal source-grounded assistant enabling engineers to retrieve documented answers with citations and a practical UI.
  • Fine-tuned LLMs: Databricks and HuggingFace workflows for enterprise use cases, deployment, monitoring, and higher-value expert work.
  • Optimization in Product Selection: AI-powered recommendation and optimization algorithms deployed within engineering software tools.

Education, Certifications, and Research

M.Sc. Mechatronics Engineering, Politecnico di Torino | B.Sc. Mechanical Engineering, Politecnico di Torino.

Certifications include SAFe 5 Practitioner, PRINCE2 Foundation, Manage Lead Coach, and The Fresh Connection.

Publication: Condition-Based Monitoring on High-Precision Gearbox for Robotic Applications. Patent application records: US20240139754A1 and US20240192085A1.

Languages

English and Arabic bilingual | Italian professional | Dutch spoken professional communication | French beginner