AI Engineer

Description

Your role at GEI.

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained models and copilots, to support GEI's priority digital and AI initiatives. This role focuses on building, deploying, and integrating AI capabilities into business workflows in a secure, scalable, and maintainable manner.

The AI Engineer plays a hands‑on role in active AI Solutions Factory use cases by implementing AI‑based solutions, integrating enterprise data sources, and supporting solution reliability and performance. This role works closely with solution architects and platform teams to ensure AI solutions are production‑ready, aligned with GEI standards, and capable of scaling across use cases.

Essential Responsibilities & Duties

• Build and deploy AI‑based solutions using pretrained models and Copilot technologies.
• Design and implement prompt flows, plugins, and orchestrations using Copilot Studio and Azure Functions.
• Integrate AI capabilities into business workflows and applications.
• Integrate enterprise data sources securely, including APIs, Graph connectors, retrieval‑augmented generation (RAG), and event‑driven patterns.
• Maintain and optimize Power BI dashboards that support AI‑enabled workflows and insights.
• Instrument AI solutions for telemetry, reliability, performance monitoring, and cost control.
• Provide technical support and troubleshooting for deployed AI solutions.
• Identify implementation risks and support mitigation strategies in collaboration with architecture and platform teams.

Minimum Qualifications

• 4+ years of software engineering experience, with at least 1 year building Generative AI applications.
• Experience with Generative AI Large Language Models (LLMs), including solution development and fine‑tuning for domain‑specific tasks.
• Proficiency in at least one programming language such as Python, PySpark, R, or SQL.
• Experience delivering Generative AI (LLM) solutions, preferably on Azure.
• Familiarity with Azure AI library APIs, including GPT, Codex, and DALL• E, and other frameworks (e.g., Databricks Mosaic) for integrating Generative AI into business workflows.
• Knowledge of big data technologies such as Spark and Databricks; familiarity with TensorFlow and PyTorch is a plus.
• Knowledge of Azure cloud services, including Azure AI Platform, Azure Data Factory, Azure Synapse, and Azure Cognitive Services, and their integration with ML workflows.
• Familiarity with AI ethics, bias mitigation, explainability techniques, and responsible AI practices.
• Knowledge of security best practices for AI solutions, including data encryption, access control, and endpoint protection.
• Prior experience implementing AI/ML solutions in professional services, engineering, or construction environments is a plus.
• Azure or Databricks certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional) are a plus.

GEI's Total Rewards Package Includes

• Market‑Competitive Compensation, including Eligibility for an Annual Performance Bonus
• Pay Range For This Position: CA$110,000.00‑ CA$150,000.00/year
• Comprehensive Benefits Program, including Medical, Dental, Vision, Life, Disability and More
• Well‑Being Program and Paid Parental Leave
• Commuter Benefits
• Hybrid Work Schedules and Cell Phone Stipends
• GEI University (GEIU) with Continuing Education Assistance and Tuition Reimbursement
• Connecting Conversation Program with a Focus on Professional Development and Opportunities for Advancement
• Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses
• Paid Holidays and Generous Paid Time Off Program
• Rewards and Recognition
• GEI‑Funded Profit Sharing and 401(k)
• Opportunity to be an Owner and Shareholder (Learn more here )
• A Vibrant Culture that is Focused on Partnership, Sustainability, Giving Back to Our Communities and Diversity, Equity and Inclusion
• And More...

Physical Requirements

Work Environment

Functional Demands

• Sedentary: x
• Light: x
• Medium:
• Other:

Activity Level Throughout Workday (check one per row)

(no selections indicated)

Physical Activity Requirements

• Occasional (0‑35% of day)
• Frequent (33‑66% of day)
• Continuous (67‑100% of day)
• Not Applicable

Activity Level Selections

• Sitting: x
• Standing: x
• Walking: x
• Climbing: x
• Lifting (floor to waist level) (in pounds): x
• Lifting (waist level and above) (in pounds): x
• Carrying objects: x
• Push/pull: x
• Twisting: x
• Bending: x
• Reaching forward: x
• Reaching overhead: x
• Squat/kneel/crawl: x
• Wrist position deviation: x
• Pinching/fine motor skills: x
• Keyboard use/repetitive motion: x
• Taste or smell (taste=never): x
• Talk or hear: x

Vision Accuracy

• Accurate 20/40:
• Very Accurate 20/20:
• Not Applicable:

Vision Checks

• Near Vision: x
• Far Vision: x
• Yes:
• No:
• Not Applicable:
• Color Discrimination:

Sensory Requirements

• Minimal:
• Moderate:
• Accurate:
• Not Applicable:

Sensory Checks

• Depth perception: x
• Hearing: x

Environment Requirements

Occupational Exposure Risk Potential

• Reasonably Anticipated:
• Not Anticipated:

Exposure Checks

• Blood borne pathogens: x
• Chemical: x
• Airborne communicable diseases: x
• Extreme temperatures: x
• Radiation: x
• Uneven surfaces or elevations: x
• Extreme noise levels: x
• Dust/particulate matter: x
• Other (exposure risks):

Usual Workday Hours

• x
• 8
• 10
• 12
• Other work hours