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In the role as a Senior Principal AI Engineer, you will lead our AI/GEN AI initiatives. You will be responsible for architecting AI/GEN AI solutions, executing our GEN AI/AI strategy, and driving measurable business impact. The Senior AI Engineer will transform our Customer Support business towards a fully autonomous agentic AI system. This role requires an individual capable of translating strategic goals into tangible, high-impact AI solutions, fostering a culture of connection, innovation, and excellence within a dynamic, collaborative environment.
You will
Own the full AI/ML lifecycle from prototype to deployment, ensuring the solutions are robust, scalable, and aligned with AI-product needs
Design, develop, and implement AI agents capable of autonomous decision-making and action
Stay current with the latest AI advancements and proactively apply new technologies to enhance team projects and committed to drive innovation
Be a thought leader by inspiring and driving innovation, promoting, and supporting best practices, and mentoring the development of IPs, research publications and white papers
Essential Requirements:
15+ years’ experience of applied science or complex software systems, especially involving deep learning, machine learning, LLMs that have been successfully delivered
Advanced experience with python, ETL pipelines (Airflow preferred), data warehousing concepts
Strong software development skills, particularly in Python, with experience working with AI frameworks and tools in cloud environments; Knowledge of ML, NLP, Information Retrieval, Recommender Systems and LLMs
Experience with container & orchestration technologies (Docker, Kubernetes etc) and cloud platforms (AWS, GCP or Azure); Experience with training, fine-tuning, and applying large language models (LLMs) for agentic AI application
Proficiency in designing and developing multi-agent systems where multiple AI agents collaborate to achieve complex tasks
Desirable Requirements
PhD or Master's degree in Technology, Computer Science, Machine Learning or equivalent quantitative field
Familiarity leveraging graph-based techniques, semantic search, hybrid search systems and implementing solutions that combine traditional IR methods with machine learning models to enhance search relevancy accuracy and efficiency. Familiarity with large scale data handling when dealing with telemetry systems.
Publication of research papers, patents, or contributions to open-source projects. Recognition as a thought leader in AI, ML, or NLP fields is highly valued.
These jobs might be a good fit

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EMEA Product Compliance Technical Strategy Lead
Our Regulatory Engineering team thrives on the challenge of operating in a complex global environment. We ensure product compliance to global regulatory, market and customer requirements in all our target regions. We work across segments and functions to integrate policy relating to emissions, safety and the environment into products and solutions. As we align regulatory standards with our strategic plans, we work closely with regulatory bodies, as well as with industry and customer groups.
You will:
Essential Requirements
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Pre-Sales Consultancy & Solution Design
Partner with technical sales teams to validate and refine rack scale solution designs, ensuring alignment with customer needs.
Lead scoping discussions with sales engineers and customers to define requirements and ensure solution accuracy.
Educate sales teams and customers on the unique benefits and value of Dell’s rack scale offerings, tailoring messaging to technical and business audiences.
Project Management & Delivery
Oversee end-to-end project execution, from order initiation to post-delivery support, ensuring timely and accurate fulfillment.
Collaborate with supply chain and operations teams to optimize demand planning, secure ship dates, and streamline order processes.
Liaise with manufacturing and technical teams (e.g., rack engineers, validation engineers) to ensure proper documentation and execution of system assembly and configuration.
Act as the central point of contact, communicating timelines, commitments, and updates to sales teams and customers.
Coordinate logistics, including delivery scheduling, carrier pre-alerts, and compliance documentation (e.g., export regulations, commercial invoices).
Proactively identify and resolve issues by collaborating with cross-functional stakeholders, driving continuous process improvements based on feedback.
Essential Requirements
5+ years of experience in project management, technical delivery, or pre-sales support within a technology or datacenter environment.
Project management certification (e.g., PMP, PRINCE2, or Agile) is highly advantageous.
Proven project management expertise, with a track record of delivering complex, end-to-end projects on time and within scope.
Exceptional communication skills (verbal and written) in English, with the ability to engage technical and non-technical stakeholders.
Technical proficiency in datacenter solutions, rack scale systems, or similar high-performance infrastructure.
Experience in stakeholder management across diverse teams (sales, engineering, operations).
Desirable Requirements
Familiarity with modern supply chain practices and tools (e.g., ERP systems, demand forecasting software).
Proficiency in project management tools (e.g., Jira, Asana, Microsoft Project, Miro) and collaboration platforms such as Teams.
Understanding of agile methodologies and their application in hardware/software integration projects.
5th April 2025

In the role as a Senior Principal AI Engineer, you will lead our AI/GEN AI initiatives. You will be responsible for architecting AI/GEN AI solutions, executing our GEN AI/AI strategy, and driving measurable business impact. The Senior AI Engineer will transform our Customer Support business towards a fully autonomous agentic AI system. This role requires an individual capable of translating strategic goals into tangible, high-impact AI solutions, fostering a culture of connection, innovation, and excellence within a dynamic, collaborative environment.
You will
Own the full AI/ML lifecycle from prototype to deployment, ensuring the solutions are robust, scalable, and aligned with AI-product needs
Design, develop, and implement AI agents capable of autonomous decision-making and action
Stay current with the latest AI advancements and proactively apply new technologies to enhance team projects and committed to drive innovation
Be a thought leader by inspiring and driving innovation, promoting, and supporting best practices, and mentoring the development of IPs, research publications and white papers
Essential Requirements:
15+ years’ experience of applied science or complex software systems, especially involving deep learning, machine learning, LLMs that have been successfully delivered
Advanced experience with python, ETL pipelines (Airflow preferred), data warehousing concepts
Strong software development skills, particularly in Python, with experience working with AI frameworks and tools in cloud environments; Knowledge of ML, NLP, Information Retrieval, Recommender Systems and LLMs
Experience with container & orchestration technologies (Docker, Kubernetes etc) and cloud platforms (AWS, GCP or Azure); Experience with training, fine-tuning, and applying large language models (LLMs) for agentic AI application
Proficiency in designing and developing multi-agent systems where multiple AI agents collaborate to achieve complex tasks
Desirable Requirements
PhD or Master's degree in Technology, Computer Science, Machine Learning or equivalent quantitative field
Familiarity leveraging graph-based techniques, semantic search, hybrid search systems and implementing solutions that combine traditional IR methods with machine learning models to enhance search relevancy accuracy and efficiency. Familiarity with large scale data handling when dealing with telemetry systems.
Publication of research papers, patents, or contributions to open-source projects. Recognition as a thought leader in AI, ML, or NLP fields is highly valued.
These jobs might be a good fit