KTP Associate in Generative AI Applications

Apply your skills in data science, machine learning, generative AI and predictive analytics to develop the AI VA for architects during the ideation stage of architectural projects (RIBA Stage 2). This vital phase forms the project’s foundational concepts and creative visions. It involves key activities including interpreting client requirements, gathering site information, and creating conceptual designs through sketches and models. You will also assess feasibility against technical, budgetary, and regulatory standards.

You will have:

1. An MSc in AI or a Computer Science-related discipline, or equivalent experience in related fields such as data science, computational design, or software engineering.
2. Demonstrable skills in data science, machine learning (ML), and predictive analytics.
3. Experience of writing technical and business reports.
4. Proficiency in software integration with deployed GenAI systems and models.
5. Knowledge of data architecture, data cleansing and data lakes that enable training AI models with proprietary legacy databases.
6. Understanding of open source GenAI, LLMs, RAGs, NLP, image classification and recognition, generation.

You will be expected to:

1. Be responsible for developing and implementing an innovative Generative AI and RAG (Retrieval-Augmented Generation) based solution for HawkinsBrown architects.
2. Participate in training sessions related to the project, as well as define own training plan to improve technical and/or soft skills related and demanded by the position.
3. Develop an understanding of current pain points and inefficiencies within the creative process through meetings, interviews, and workshops
4. Participate in ideation meetings with a team of architects to understand and map the ideation process.
5. Prepare documentation that delineates a step by step ideation process of an architectural project.
6. Collaborate and work closely with the HawkinsBrown’s IT team to identify, retrieve, clean and prepare historical data that will be used to feed and train the AI system.
7. Plan and execute data cleansing of the data, organise it and lead initiatives to create the data architecture and data lakes that will be used to train AI models.
8. Lead, engage and coordinate regular meetings with members of the company and the academic team to brainstorm, define and decide the best strategies, tools, and techniques necessary to build the new AI solution.
9. Prepare presentations with updates about the progress of the project and present in regular local management committee meetings.
10.Create the AI architecture utilising open-source large language models, generative AI and retrieval-augmented generation, or any other necessary AI techniques to develop and implement an innovative AI solution at HawkinsBrown.

You will have a key role in developing and leading the implementation of an AI Virtual Assistant (VA) that aids architects during all stages of an architecture project. The purpose of the VA is to become a part of the team of architects & creatives in order to instil a curious and inventive mindset that will enable higher productivity, creativity, design ability and accuracy by utilising the latest generative AI models and big data.