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About the Role

The Applied AI Solutions Specialist collaborates with AEC project teams to identify and implement practical AI solutions that enhance project delivery. This role involves understanding current workflows, transforming them into AI-enabled processes, and selecting the most appropriate AI approach, from existing tools to custom development. The specialist will prototype solutions using project information, support adoption, and work with the Solution Delivery team to scale successful implementations. This role supports the Mott MacDonald North America region and reports to the AI and Information Leader.

Responsibilities

Identify opportunities where AI can improve quality, efficiency, consistency, or access to information by understanding current workflows and challenges.
Assess AI appropriateness and select the simplest viable approach, prioritizing existing capabilities over unnecessary custom development.
Redesign existing project and discipline processes into AI-enabled workflows by integrating AI, automation, engineering technologies, project information, and human expertise.
Build, test, and iterate AI solutions with end-users, moving from ambiguous problems to working prototypes that demonstrate feasibility and value.
Work with diverse AEC information, including drawings, BIM/CAD models, specifications, and spatial data.
Determine the optimal technology mix, including AI, deterministic logic, automation, APIs, and conventional development, for end-to-end workflows.
Adapt prototypes to project-specific needs and support adoption through demonstrations, user testing, and feedback.
Validate AI outputs with subject-matter experts, understand limitations, and establish traceability and assurance.
Transition proven solutions to the Solution Delivery team, providing necessary documentation and knowledge for scaling.
Capture reusable technical approaches and lessons learned, and evaluate emerging AI technologies for AEC delivery.

Requirements

Experience in architecture, engineering, construction, or major infrastructure delivery with a practical understanding of project design and delivery.
Strong understanding of design and/or construction workflows and project information usage.
Practical knowledge of AEC systems, including CAD/BIM, CDEs, document management, GIS/spatial, and other project information systems.
Experience with AEC information formats such as drawings, BIM/CAD models, specifications, and structured project data.
Hands-on experience building AI solutions using Python, AI APIs, SDKs, and modern frameworks.
Experience applying Generative AI and LLMs to real technical or engineering problems.
Strong rapid-prototyping capability, independently moving from problem to proof of concept.
Ability to integrate AI with project information, APIs, automation, and existing applications.
Ability to select the appropriate AI approach and recognize when AI is not the right solution.
Understanding of AI evaluation metrics and the role of human validation.
Proven ability to collaborate with project teams to understand workflows, co-develop solutions, and support adoption.
Ability to translate between AEC practitioners and technical teams.
Clear communication of technical concepts to both technical and non-technical stakeholders.
Curiosity and ability to quickly learn new technologies and engineering domains.

Skills

Python
AI APIs
SDKs
Modern AI frameworks
Agentic workflows
Multi-step workflows
Tool-enabled workflows
Generative AI
LLMs
Retrieval and grounding
Structured outputs
Tool calling
Multimodal AI
Rapid prototyping
AI integration
API integration
Automation
Existing application integration
AI evaluation
Human validation
Communication
Problem-solving
AI, machine learning, or automation within engineering design, construction, or infrastructure projects (Preferred)
Prototyping use cases such as design checking, drawing review, requirements assessment, specification analysis, engineering information retrieval, construction information analysis, or automated quality checking (Preferred)
Computer vision
Multimodal AI applied to drawings, models, imagery, point clouds, or video (Preferred)
RAG
Knowledge retrieval
AI agents
Tool-enabled solutions grounded in controlled project information (Preferred)
Microsoft 365 Copilot
Copilot Studio
Azure AI Foundry
Autodesk Construction Cloud
Civil 3D
Revit
ProjectWise
ArcGIS
SharePoint
SQL
Databases
Vector search
Data platforms supporting AI applications (Preferred)
Transitioning prototypes to solution delivery teams (Preferred)
Responsible AI (Preferred)
Information security (Preferred)
Data governance (Preferred)
Engineering assurance considerations (Preferred)

Location

North America

Work Type

Full-time

Experience Level

Mid-level
Senior

Education Level

Bachelor’s degree in Engineering, Construction Management, Architecture, Computer Science, Artificial Intelligence, Data Science, Information Systems or a related field.
Relevant postgraduate qualifications or professional certifications in engineering, AI, machine learning, software development or digital delivery are a plus.

Salary/Compensations

US$ 137,000 - 168,000

Benefits

Performance-based bonuses
Comprehensive benefits package
Medical coverage
Dental coverage
Vision coverage
FSA accounts
HSA accounts
Company-paid life insurance
Short-term disability coverage
Long-term disability coverage
Competitive 401(k) plan with company matching
Paid time off
Paid holidays
Caregiver leave
Employee referral bonuses
Professional registration and membership reimbursements
Tuition assistance

About the Company

Mott MacDonald is a collaborative consultancy where perspectives are valued, growth is supported, and employees are empowered to lead with integrity.

Equal Opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, creed, marital status, sexual orientation, gender identity, citizenship status or disability status.
We seek to promote fair employment procedures and practices to ensure equal opportunities for all.
We encourage individual expression in our workplace and are committed to creating an inclusive environment where everyone feels they have the opportunity to contribute.