Position Summary The AI/ML Engineer will design, develop, integrate and deploy AI and machine learning solutions that improve business processes, operational efficiency and decision-making across the enterprise.

The role focuses on generative AI, large language models (LLMs), retrieval-augmented generation (RAG), AI agents, workflow automation, predictive analytics and production AI operations. The successful candidate will collaborate with business stakeholders, Systems Development and IT to deliver secure, scalable and maintainable solutions using Microsoft technologies, third-party AI platforms and open-source tools.

Key Responsibilities

Design and develop AI applications, LLM-powered solutions, RAG systems and AI agents

Build intelligent workflows and integrate AI capabilities with enterprise applications, APIs and data sources

Liaise with the data and analytics team to develop data pipelines and prepare structured and unstructured data for AI and machine learning applications

Develop and evaluate machine learning models for forecasting, classification, prediction and other business use cases

Deploy, monitor and maintain AI applications and models in production environments

Implement testing, version control, CI/CD, monitoring and MLOps practices to ensure solution reliability and maintainability

Evaluate AI solution quality, performance, accuracy, cost and scalability

Apply security, privacy, access control and responsible AI principles in accordance with enterprise policies

Liaise with other teams to maintain technical documentation and contribute to continuous improvement of enterprise AI solutions

Key Competencies

Analytical thinking and problem-solving.

Robust software engineering and technical design skills.

Business-oriented approach to solution development.





Effective communication and collaboration.

Attention to security, quality and maintainability.

Adaptability and continuous learning.

Qualifications

Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science or a related field, or equivalent practical experience

3–5 years of relevant experience in software engineering, AI/ML engineering or applied AI development

Strong programming skills in Python and working knowledge of SQL

Practical experience with LLMs, AI APIs, prompt engineering and RAG concepts

Experience with APIs, data integration, data preparation and software development practices

Familiarity with cloud AI platforms, preferably Microsoft Azure, Azure OpenAI or comparable services

Understanding of deployment practices, automated testing, version control and MLOps

Knowledge of AI evaluation, data privacy, application security and responsible AI principles

Legally eligible to work in Canada

Nice to have

Experience with AI frameworks such as LangChain, LlamaIndex or Semantic Kernel

Familiarity with vector databases, embeddings, semantic search and AI agent orchestration

Experience with Microsoft 365, Azure AI services, Microsoft Azure, Azure AI Foundry, Azure OpenAI, Azure Machine Learning or Microsoft Power Platform and enterprise document management systems

Exposure to traditional machine learning, predictive analytics, Docker and CI/CD pipelines

Relevant cloud, AI or machine learning certifications

Kubernetes and infrastructure-as-code (Terraform)

Fine-tuning and LLM evaluation frameworks

Experience in a regulated enterprise setting

Extended Healthcare Plan (Medical, Disability, Dental & Vision)

Group RRSP

Group Life - AD&D; - Critical Illness Insurance

Training & Development

Employee Assistance Program - Counseling

Paid Time Off

📌 AI/ML Engineer (Winnipeg)
🏢 JAVA Holdings
📍 Winnipeg