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AI Specialist - Operational Digital Twin
Parsons Corporation
Software Engineering, Data Science
Posted on May 25, 2026
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At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what’s possible.
Job Description:
AI Specialist – Operational Digital Twin
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
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
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!
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