AI Engineering Lead
CanadaFull-TimeLead
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Required Skills
- DockerPythonKubernetesMachine LearningPyTorchTensorflowLLMMLOpsGenerative AI
Requirements
- Extensive hands-on experience designing, building, and deploying AI and machine learning solutions in production environments.
- Strong proficiency in Python and modern AI frameworks, tools, and libraries.
- Proven experience developing large language model (LLM) applications, retrieval-augmented generation (RAG) systems, AI agents, and AI-driven microservices.
- Familiarity with technologies such as LangChain, LlamaIndex, vector databases, PyTorch, TensorFlow, Docker, Kubernetes, and cloud platforms including AWS, Azure, or Google Cloud.
- Solid understanding of MLOps, LLMOps, CI/CD pipelines, AI observability, model monitoring, performance optimization, latency management, and cost control.
- Demonstrated success leading, mentoring, or managing engineering teams in complex technical environments.
- Experience designing scalable, secure, and maintainable cloud-based architectures.
- Strong consulting, stakeholder management, and client-facing communication skills.
- Ability to explain technical trade-offs and strategic decisions to audiences with varying levels of technical expertise.
- Passion for continuous learning and staying current with advancements in artificial intelligence and software engineering.
Responsibilities
- Lead, mentor, and develop a high-performing AI engineering team while fostering a culture of innovation, collaboration, and technical excellence.
- Serve as the primary technical authority for AI initiatives, providing guidance on architecture, implementation strategies, and engineering best practices.
- Design and deliver production-ready AI solutions, including machine learning systems, generative AI applications, retrieval-augmented generation (RAG) platforms, and agent-based workflows.
- Translate complex technical concepts into clear recommendations and actionable insights for both technical and non-technical stakeholders.
- Advise clients and internal teams on AI roadmaps, solution design, technology selection, and delivery strategies.
- Establish and promote standards for AI-first software development, cloud deployment, code quality, security, scalability, and operational excellence.
- Oversee the successful execution of multiple AI projects, ensuring high-quality delivery and alignment with business objectives.
- Evaluate emerging technologies and identify opportunities to enhance products, services, and engineering practices.
- Collaborate closely with cross-functional teams to ensure efficient deployment, adoption, and ongoing optimization of AI solutions.
View Full Description & ApplyYou'll be redirected to the employer's site
