Senior AI Architect

8 hours ago

Stockholm, Stockholm, Sweden Ramboll Full time

Unlock the Power of AI at Ramboll

Ramboll is a global leader in architecture, engineering, and consultancy. We are accelerating innovation and digital transformation for our entire group and driving all AI-related initiatives within the company.

As a Technical Lead for LLM Solutions, you will be responsible for shaping the technical roadmap and contributing to the implementation of best practices both in your product team and the global Chapter of ML Engineers.

You will work with the global Chapter leads, subject matter experts, and other ML Engineers to deliver impactful AI solutions. Your role will involve defining architectural patterns for scalable LLM pipelines, ensuring robust versioning, monitoring, and adherence to best practices.

You will also drive the integration of external knowledge bases and retrieval systems to augment LLM capabilities.

What You Will Do:

  • Technological Leadership: Define architectural patterns for scalable LLM pipelines, ensure robust versioning, monitoring, and adherence to best practices.
  • Research and Development: Effective RAG architectures and technologies for organizing complex domain-specific data and effective knowledge extraction.
  • Evaluation and Optimization: Analyze models for quality, latency, sustainability metrics, and cost, identifying and implementing improvements for better outcomes.
  • Experimentation and Continuous Improvement: Develop experiments for model evaluation and improvement, keeping the solutions aligned with evolving industry standards.
  • Best Practices: Establish scalable coding standards and best practices for maintainable and production-ready systems.
  • Team Support: Mentor ML engineers to foster their personal growth.

Your Qualifications:

  • Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Experience: Minimum 5 years of experience implementing machine learning projects, at least 2 years in a senior or lead role, and demonstrated expertise integrating modern LLMs into production systems.
  • Leadership Skills: Proven leadership in driving technical projects to successful completion in agile environments, strong communication skills to align technical solutions with business goals, and ability to mentor and foster innovation within the team.
  • LLM and RAG Expertise: Strong expertise in building Retrieval-Augmented Generation (RAG) architectures and integrating with vector and graph databases.
  • Transformer and LLM Architectures: In-depth experience with modern Transformer-based LLMs.
  • Model Performance and Optimization: Demonstrated ability to fine-tune and optimize LLMs for quality, latency, sustainability, and cost-effective performance.
  • Programming and NLP Tooling: Advanced Python proficiency and expertise with frameworks like PyTorch, TensorFlow, Hugging Face, or LangChain.
  • MLOps and Deployment: Experience with containerization tools and workflow management tools.
  • Cloud and AI Infrastructure: Hands-on experience with cloud environments for scalable AI deployment, monitoring, and optimization.
  • Databases: Experience with relational and NoSQL databases.
  • Data Platforms: Familiarity with platforms like Snowflake or Databricks.

Our Culture:

We value diversity, equality, and inclusion. Our team culture is crucial to us, and we take time daily to exchange ideas and discuss our work priorities. We support each other when facing challenges and foster a strong team spirit. We aim to learn and grow continuously from one another.

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