Job Title:, Enterprise AI Architect (Contract, Remote, Canada) Location: Remote (Canada) Employment Type: Contract (6-12 months, extension possible) About the Role We're looking for an Enterprise AI Architect to work alongside our clients in-house AI Center of Excellence (CoE), under shared leadership. You'll act as a senior technical partner to the CoE, shaping the architecture, standards, and delivery of enterprise AI solutions from concept through production. You'll bring outside perspective and hands-on expertise to accelerate how we design, build, and deploy AI-driven processes at scale.
What You'll Do
Define the enterprise AI reference architecture covering data, models, orchestration, security, and governance
Partner with the AI CoE to evaluate use cases, prioritize initiatives, and translate business needs into technical solution designs
Design and oversee development of AI solutions, including GenAI/LLM applications, RAG pipelines, agentic workflows, and ML models
Establish MLOps/LLMOps practices for deployment, monitoring, versioning, and lifecycle management
Evaluate and recommend AI platforms, foundation models, vector databases, and tooling (build vs. buy)
Ensure AI solutions meet security, privacy, compliance, and Responsible AI standards (including Canadian requirements such as PIPEDA)
Integrate AI capabilities into existing enterprise systems (ERP, CRM, data platforms, APIs)
Create architecture documentation, design patterns, and reusable accelerators for the CoE
Provide technical guidance and mentorship to CoE engineers, data scientists, and business stakeholders.
Present architecture decisions, roadmaps, and trade-offs to senior leadership
What You Bring
10+ years in solution/enterprise architecture, with 3+ years designing and delivering AI/ML solutions in production
Hands-on experience with GenAI and LLMs (OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, Google Vertex AI, or open-source models)
Strong knowledge of RAG, vector databases, prompt engineering, agent frameworks, and evaluation methods
Experience with a major cloud platform (Azure, AWS, or GCP) and cloud-native architecture
Solid understanding of MLOps/LLMOps, CI/CD, containerization (Docker, Kubernetes), and infrastructure as code
Proficiency in Python and familiarity with modern data engineering stacks (Snowflake, Databricks, Spark, etc.)
Working knowledge of AI governance, model risk management, data privacy, and security best practices
Excellent communication skills, with the ability to work with both technical teams and executives
Proven ability to work independently and collaboratively with an internal team in a remote setting
Nice to Have
Cloud or AI certifications (Azure AI Engineer, AWS ML Specialty, Google Professional ML Engineer, TOGAF)
Experience setting up or advising an AI Center of Excellence
Background in regulated industries (financial services, healthcare, insurance, public sector)
Experience with enterprise automation platforms or agentic AI orchestration tools
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Enterprise AI Architect in Winnipeg employer: GALA SOLUTIONS Co.
As an Akamai Security Engineer in Montreal, you will thrive in a dynamic work environment that prioritizes innovation and collaboration. Our company fosters a culture of continuous learning and professional growth, offering employees the chance to engage with cutting-edge security technologies while working closely with cross-functional teams. With a strong commitment to employee well-being and a flexible onsite schedule, we ensure that our team members can achieve a healthy work-life balance while contributing to meaningful projects that protect our clients' digital assets.
