AI Engineer (Canada) AI Capability Center (AICC) Team, Remote with Some Travel

Huron is a global consultancy that collaborates with clients to drive strategic growth ignite innovation and navigate constant change. Through a combination of strategy expertise and creativity we help clients accelerate operational digital and cultural transformation enabling the change they need to own their future.

Join our team as the expert you are now and create your future.

Key Responsibilities

• Design and develop AI-powered systems using both traditional ML and generative AI techniques including prompt engineering fine-tuning and embeddings

• Build intelligent applications and agents that can perform tasks autonomously or interactively using frameworks like LangGraph AutoGen CrewAI or similar

• Create modular well-documented APIs and service components (e.g. using FastAPI or Flask) to enable model integration and consumption

• Develop and manage data pipelines including data collection transformation and quality assurance to support model training

• Implement observability and evaluation mechanisms to monitor AI system behavior including accuracy drift reliability and task-level reasoning

• Collaborate with software engineers data scientists and solution architects to ensure seamless design development and transition to production

• Support rapid experimentation as well as robust deployment pipelines depending on the maturity of each use case

• Stay informed on the latest trends in GenAI AI agents orchestration protocols and evaluation frameworks to continuously evolve our capabilities

Preferred Qualifications

• Minimum of 4 years of hands-on experience in AI/ML development or intelligent application engineering

• Proficiency in Python and familiarity with modern ML/AI libraries (e.g. scikit-learn PyTorch TensorFlow OpenAI APIs)

• Experience building APIs or backend services using FastAPI Flask or equivalent frameworks

• Exposure to agent frameworks (e.g. LangGraph AutoGen) and vector databases

• Familiarity with cloud platforms (Azure AWS) and containerization tools (Docker)

• Familiarity with cloud-based ML platforms such as Azure Machine Learning AWS SageMaker or Google AI/ML services

• Experience with MLOps pipelines CI/CD for model delivery or model monitoring is a plus

• Familiarity with orchestration standards or tools such as MCP or agent routing protocols is a plus

• Knowledge of AI system evaluation observability or prompt performance testing is a plus

• Ability to work on cross-functional teams balance multiple projects and communicate effectively with technical and non-technical audiences

• Cloud certifications in AI/ML services (Azure AWS or Google Cloud) is a plus

• Bachelors degree in Computer Science Engineering Data Science or a related field

Flexible living locations across Canada ability to travel as needed.

The estimated base salary for this job is $95000 - $125000 CAD. The range represents a good faith estimate of the range that Huron reasonably expects to pay for this job at the time of the job posting. The actual salary paid to an individual will vary based on multiple factors including but not limited to specific skills or certifications years of experience market changes and required travel. This job is also eligible to participate in Hurons annual incentive compensation program which reflects Hurons pay for performance philosophy. Inclusive of annual incentive compensation opportunity the total estimated compensation range for this job is $106400 - $147500 CAD. The job is also eligible to participate in Hurons benefit plans which include medical dental and vision coverage and other wellness programs. The salary range information provided is in accordance with applicable state and local laws regarding salary transparency that are currently in effect and may be implemented in the future.

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