AI Specialist
This 1-year contract role sits within our Data and AI team, focused on building practical, responsible AI solutions across the business. You’ll design and deploy AI tools, support employee upskilling, and help drive adoption of generative AI to improve efficiency and deliver measurable impact at R.W. Tomlinson.
DUTIES & RESPONSIBILITIES:
- As part of the Data and AI team, help train and upskill staff across the business on how to design, build, and responsibly deploy AI agents and generative AI solutions
- Contribute to training materials, hands-on workshops, documentation, and best-practice guidelines that build AI literacy and self-sufficiency across the organization
- Gather requirements from internal stakeholders to understand business needs and identify high-value opportunities for generative AI and automation
- Design, build, and maintain AI agents and generative AI applications using enterprise AI development platforms, large language models, and low-code automation and app-building tools
- Apply techniques such as prompt engineering, retrieval-augmented generation (RAG), and tool/function calling to ground AI solutions in company data and connect them to business systems
- Integrate AI assistants and copilots into existing workflows to streamline processes and improve employee and user experience
- Collect, clean, and transform structured and unstructured data to support generative AI, retrieval, and machine learning workloads
- Develop and maintain the data models and pipelines that feed AI systems, leveraging the company's unified data and analytics platform
- Evaluate and fine-tune models and agents for accuracy, reliability, cost, and performance, and establish guardrails to ensure safe, consistent behaviour
- Build reports and visualizations to communicate findings, adoption, and business impact to project stakeholders
- Champion responsible AI practices including data privacy, security, and governance within the solutions you build
- Stay current with generative AI trends and advancements, particularly applications within the construction industry, to help the team drive innovation within R.W. Tomlinson
REQUIREMENTS:
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field
- At least 2 years of experience in data analysis, preferably in the field of AI
- Experience with machine learning algorithms, deep learning frameworks, and natural language processing (NLP) techniques
- Strong programming skills in Python, SQL, or other relevant data analysis tools
- Experience with data visualization tools such as Tableau, Power BI, or D3.js
- Familiarity with cloud computing platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).
- Knowledge of security best practices for AI, such as data anonymization, secure model deployment, and secure data handling.
- Excellent problem-solving and analytical skills
- Ability to work independently and as part of a team
- Strong communication and collaboration skills
- This position is working in our Ottawa office.
TOMLINSON OFFERS:
- Competitive wages
- Bonus programs
- Employer paid health and dental benefits
- Extensive training programs and tuition reimbursement
- Retirement benefits program
- Family-oriented team environment
- Employee discounts and other rewards programs
COMPENSATION
The expected range for this position is $77,000 - $100,000. Placement within the range is dependent on a variety of factors including qualifications and experience.
The Tomlinson Group of Companies encourages applications from all qualified candidates. Please contact Human Resources if you need accommodation at any stage of the application process or want more information on our accommodation policies. We are committed to leveraging the latest technology to enhance our recruitment process. We may use AI tools in the screening and selection of candidates to efficiently and fairly assess all applicants. A Recruiter will review all results generated by AI. If you have any questions, please contact our HR department.