Artificial Intelligence Engineer

MPA Recruitment; Halifax; On-site; CAD 100,000 - 160,000; Full time

Job summary

MPA Recruitment is seeking a Senior AI Engineer in Canada who will deliver advanced AI solutions using state-of-the-art ML, generative and agentic AI technologies. You will drive adoption of modern AI frameworks, MLOps practices and scalable cloud-native architectures, translating business challenges into trustworthy AI outcomes.

You will mentor peers, collaborate with customers, ensure responsible AI and model interpretability, and help the team learn and grow in a fast paced environment.

Qualifications

• : Minimum 2.1 degree in Computer Science, AI, Data Science, Statistics or related quantitative field.
• : Demonstrable experience deploying modern AI/ML solutions into production, including prompt engineering, RAG, model evaluation, and monitoring.
• : Strong Python skills with software engineering practices (CI/CD, testing, code reviews).
• : Experience with cloud platforms (Azure & AWS), Kubernetes and Docker.
• : Expertise in data engineering for AI (large-scale, unstructured/multimodal data).
• : Understanding of responsible AI, model interpretability and ethics.
• : Strong interpersonal and teamwork skills.

Responsibilities

• Deliver advanced AI solutions using state-of-the-art ML, generative and agentic AI technologies.
• Drive adoption of modern AI frameworks, AIOps best practices and scalable cloud-native architectures.
• Collaborate with customers to translate business challenges into trustworthy AI solutions.
• Mentor colleagues and foster a culture of innovation, continuous learning and engineering excellence.

Skills

Python

CI/CD

Cloud platforms

Kubernetes

Docker

Data engineering

Responsible AI

Team collaboration

Education

Bachelor's degree in Computer Science or related field

Tools

Azure

AWS

Job description

As a Senior AI Engineer, you will deliver advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI frameworks, AIOps best practices and scalable cloud-native architectures. Your role will involve hands‑on technical delivery, collaborating with customers to translate business challenges into trustworthy AI solutions and ensuring responsible AI practices throughout. As a technical mentor, you will foster a culture of innovation, continuous learning, and engineering excellence.

It is a fast-paced environment, so it is important for you to make sound, reasoned decisions. You will do this whilst learning about new technologies and approaches, with talented colleagues that will help you to develop and grow. You will support your colleagues and more junior developers, providing direction support as you solve challenging problems together.

MINIMUM (ESSENTIAL) REQUIREMENTS

• A minimum of a 2.1 degree in Computer Science, AI, Data Science, Statistics or in a similar quantitative field.
• Demonstrable experience of deploying modern AI/ML solutions into production, including prompt engineering, retrieval-augmented generation (RAG), model evaluation, and monitoring using metrics (e.g. precision, recall, NDCG and drift detection).
• Strong Python skills with a grounding in software engineering best practices (CI/CD, testing, code reviews etc).
• Experience developing solutions at scale on cloud platforms (Azure & AWS), containerisation and orchestration tools such as Kubernetes and Docker.
• Expertise in data engineering for AI: handling large-scale, unstructured, and multimodal data.
• Understanding of responsible AI principles, model interpretability, and ethical considerations.
• Strong interpersonal skills and team working.

DESIRABLE

• Demonstrable experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine‑tuning or distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit‑learn, XGBoost).
• Experience with data storage for AI, vector databases, semantic search, and knowledge graphs.
• Contributions to open-source AI projects or research publications.
• Familiarity with AI security, privacy, and compliance standards e.g. ISO42001.