AI Specialist Operational Digital Twin
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About the Role
The role involves designing and implementing AI Assistant architecture for a Geospatial Digital Twin, focusing on Large Language Models and data integration.
Key Skills for This Role
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Overview
Parsons is seeking an AI Specialist to support the end-to-end delivery of a large-scale Geospatial Digital Twin programme for a major national infrastructure owner in the Middle East.
This multi-year initiative will design, build, and operationalize an Operational Digital Twin platform that integrates geospatial data, real-time IoT/SCADA feeds, asset information, and core enterprise systems to enable data-driven planning, operations, and maintenance.
The role will work closely with the Software Development Lead, Data & Architecture team, and a team of international experts, developers, and engineers.
The scope spans discovery and stakeholder engagement, AI assistant and use case design, proof-of-concept delivery, implementation of a production-grade environment, post-implementation support, and structured training and knowledge transfer. The AI Specialist will help design, implement, and train Large Language Models to operate as an AI Assistant to the Geospatial Digital Twin in a fully isolated environment (no internet connectivity), support data preparation and prompt/interaction design, contribute to testing and performance tuning, and assist in ensuring that AI capabilities are robust, secure, and aligned with key Digital Twin use cases.
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
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