Closed listing
Senior AI Engineer
- Vancouver, BC, Canada
Contract
This opening has closed.
The original listing is kept below for reference.
Job details
- Job type
- Contract
- Closing date
- Posting language
- English
- Posted
Similar jobs hiring now
Search current openingsOriginal job description
Archived listing. The details below describe a past opening.
Senior AI Engineer:
On behalf of our client, Procom is searching for a Senior AI Engineer for a 3-month role. This position is a hybrid position with 3 days onsite at our client’s Richmond office.
Job Description:
The Senior AI Engineer will lead the development of enterprise-grade AI solutions, focusing on architecture, design, and implementation. This role involves new development of intelligent automation platforms and AI applications, ensuring they are secure, scalable, and production-ready.
Responsibilities:
- Lead the architecture, design, development, testing, and implementation of enterprise AI and intelligent automation solutions.
- Design and build production-grade AI applications, services, APIs, and integrations.
- Develop multi-agent and agentic AI solutions, orchestration frameworks, and intelligent workflow automation capabilities.
- Establish solution architectures, technical standards, reusable frameworks, and development patterns.
- Implement AI governance, security controls, observability, monitoring, and operational readiness capabilities.
- Mentor developers and provide technical leadership to delivery teams.
- Collaborate with architects, cybersecurity specialists, data engineers, and business stakeholders to ensure solution alignment with enterprise standards.
- Minimum of 8 years of experience in software engineering and solution development.
- Minimum of 5 years of experience designing, developing, and implementing AI, Machine Learning, or Generative AI solutions.
- Demonstrated experience with Large Language Models (LLMs) and enterprise AI platforms.
- Experience designing and developing cloud-native architectures using Azure.
- Strong understanding of secure software development, AI governance, application security, and enterprise architecture principles.
- Experience serving as a Solution Architect, Lead Engineer, Principal Engineer, or Technical Lead.
- Experience developing Responsible AI controls, AI governance practices, and risk management approaches.
- Experience implementing AI evaluation, monitoring, observability, and model lifecycle management capabilities.
- Experience within large public sector, regulated, or highly governed organizations.
- Relevant certifications in AI, architecture, cloud platforms, or software engineering.
This is a 12-month contract position.
Start Date:
ASAP.
Assignment Location:
Richmond, BC. This position is hybrid with 3 days onsite.
More about this job
Responsibilities
The Senior AI Engineer will lead the architecture, design, and implementation of enterprise-grade AI and intelligent automation solutions. They will also mentor development teams and collaborate with stakeholders to ensure alignment with enterprise standards and security protocols.
Requirements
Candidates must have at least 8 years of software engineering experience and 5 years of experience in AI, Machine Learning, or Generative AI. Proficiency in Azure cloud-native architectures and a strong understanding of AI governance and secure development practices are required.
Skills
- Software Engineering
- Artificial Intelligence
- Machine Learning
- Generative AI
- Large Language Models
- Azure
- Cloud-native Architecture
- Intelligent Automation
- API Development
- Multi-agent Systems
- AI Governance
- Cybersecurity
- Data Engineering
- System Architecture
- Technical Leadership
- Workflow Automation
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Data & Analytics
- Consulting
- Government & Public Sector
Keywords
- Senior AI Engineer
- Software Engineering
- Artificial Intelligence
- Machine Learning
- Generative AI
- Large Language Models
- Azure
- Cloud-native
- Intelligent Automation
- API
- Multi-agent
- Orchestration
- AI Governance
- Cybersecurity
- Data Engineering
- Solution Architecture
- Technical Leadership
- Workflow Automation
- Observability
- Monitoring
- Responsible AI
- Model Lifecycle Management
- Public Sector
- Enterprise Architecture
- IT Services
- IT Consulting