Senior AI Engineer: Build Scalable, Responsible AI Solutions

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

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.