AI Specialist – Operational Digital Twin

Overview

AI Specialist – Operational Digital Twin

What You’ll Be Doing

• Support the Software Development Lead and Data & Architecture team in designing the AI Assistant architecture for the Operational Digital Twin, including selection and deployment of LLM models in an isolated environment
• Assist in preparing and curating training and grounding data (including documentation, schemas, geospatial and asset context) required for LLM fine‑tuning or domain adaptation, ensuring compliance with security and data-governance requirements
• Help implement, fine‑tune, and evaluate LLMs to support Digital Twin use cases (e.g., natural language querying of geospatial/asset data, explaining map views, guiding workflows, and answering “how-to” and operational questions) without any internet connectivity
• Support integration of the AI Assistant with the Digital Twin platform and enterprise systems, including design of prompt pipelines, tools/function-calling, and retrieval-augmented generation using internal data sources
• Assist in implementing monitoring, evaluation, and guardrails for AI Assistant behaviour (e.g., response quality, safety, hallucination reduction), and in troubleshooting issues related to accuracy, performance, and user experience
• Help prepare documentation and usage guidelines for the AI Assistant, support demonstrations and user-training sessions, and contribute to knowledge transfer and handover to client and operations teams

What Required Skills You’ll Bring

• Degree in computer science, data science, AI, engineering, or a related technical discipline from an accredited institution
• Experience implementing AI/ML solutions with a strong focus on Large Language Models, using tools and frameworks such as , , , or similar
• Working knowledge of LLM concepts and techniques, including fine‑tuning, prompt engineering, retrieval‑augmented generation, and evaluation of model outputs
• Experience deploying models in controlled or air‑gapped/on‑premises environments, with an understanding of constraints associated with no internet connectivity
• Basic understanding of geospatial and asset/operations data, or demonstrated ability to rapidly learn domain structures and incorporate them into AI solutions
• Exposure to integrating AI services with applications and APIs (e.g., wrapping models as services, tool/function-calling, or chat-oriented interfaces)
• Experience working within multidisciplinary, multinational teams across multiple time zones
• Strong organisational and coordination skills, with some experience in structured project or delivery environments (e.g., PMI, PRINCE2, Agile/Hybrid)
• Excellent communication and documentation skills, with the ability to clearly explain AI concepts, limitations, and results to non‑technical stakeholders
• Fluency in spoken and written English; Arabic language skills are a strong advantage

What Desired Skills You’ll Bring

• Prior work with national infrastructure owners, transport authorities, utilities, or public works organisations
• Professional certifications in data science, AI, or cloud data/AI services
• Parsons equally employs representation at all job levels no matter the race, color, religion, sex (including pregnancy), national origin, age, disability or genetic information.
• We truly invest and care about our employee’s wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars!
• Imagine next and join the Parsons quest—APPLY TODAY!
• Parsons is aware of fraudulent recruitment practices.
• To learn more about recruitment fraud and how to report it, please refer to https://www.parsons.com/fraudulent-recruitment/.

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