AI Architect

You deserve an awesome career! At Execulink, you'll join a team of talented individuals who feel like family and support your growth and career goals. As we rapidly grow, we continue our unwavering commitment to live and breathe our Vision, Mission and Values. While enhancing life at home, work and play, we continue to grow our team with innovative individuals who are as excited about creating an awesome experience for our customers as we are! 

About this Opportunity:

Are you ready to be the architect of the future? Execulink Telecom is searching for a visionary AI Architect to design and lead the development of cutting-edge AI and machine learning systems that will transform how we operate. This is your chance to build scalable, enterprise-grade AI solutions that blend the power of cloud and on-premises GPU infrastructure.

You’ll craft strategic roadmaps, set the gold standard for AI governance, and pioneer innovative workflows that push the boundaries of technology. If you thrive on solving complex challenges, mentoring talented teams, and turning visionary ideas into real-world impact, this role is tailor-made for you.

Join us and be part of a forward-thinking company that’s shaping the future of telecom with intelligence, creativity, and passion. Ready to make your mark? Let’s build something extraordinary together!

Position Details:

• Woodstock, ON
• Permanent, Full Time
• Hours of Work
• Monday to Friday 8:30am – 5:00pm
• Hybrid role opportunity
• Required to work in office a minimum of 3 days per week
• Ability to work flexible hours outside of regular office hours may be required for maintenance activities

Responsibilities:

• Design and architect scalable AI/ML systems and infrastructure that support both Azure cloud and on-premises GPU environments
• Develop strategic roadmaps for AI capability adoption, balancing innovation with practical implementation and organizational readiness
• Define and implement standards for model governance, performance monitoring, ethics, and data privacy compliance
• Lead the design of RAG pipelines, agentic workflows, and LLM orchestration frameworks for production applications
• Collaborate with data engineering, infrastructure, and business teams to ensure AI solutions integrate seamlessly with enterprise systems
• Evaluate and recommend AI frameworks, tools, and platforms suitable for various use cases and maturity stages
• Provide technical leadership and mentorship to engineering teams on AI/ML best practices and emerging technologies
• Identify high-impact AI opportunities that deliver quantifiable business value and support strategic objectives

HR Responsibilities:

• None

Qualifications:

• 6+ years of experience in AI/ML architecture, applied data science, or AI systems engineering
• Bachelor's degree in Computer Science, Data Science, Engineering, or related field
• Proven experience designing and implementing AI/ML systems in production environments.
• Deep expertise in Python and modern ML frameworks (TensorFlow, PyTorch, scikit-learn, or similar)
• Strong understanding of LLM application development including RAG pipelines, embeddings, and vector databases
• Experience with cloud platforms (Azure preferred) and hybrid cloud/on-premises infrastructure
• Demonstrated ability to translate business requirements into scalable AI architectures and technical roadmaps
• Strong knowledge of AI governance, model monitoring, and data privacy best practices
• Experience in PostgreSQL and PGVector or similar Vector / Relational DBs
• Experience with structured data vector parsing, DevOps CI/CD Pipelines
• Experience building AI practices from inception, including organizational change management for emerging technologies is considered an asset
• Hands-on experience with agent orchestration frameworks (LangChain, LlamaIndex, Semantic Kernel, DSPy, or custom equivalents) is preferred
• Knowledge of MLOps, model lifecycle management, and AI observability tools is preferred
• Familiarity with MCP (Model Context Protocol) or multi-agent orchestration standards is considered an asset
• Background in highly regulated industries (telecom, finance, healthcare, utilities) is considered an asset

Required Skills & Abilities:

• Strategic thinking with ability to balance visionary design with practical, staged implementation
• Excellent problem-solving skills and ability to architect solutions for complex technical challenges
• Strong communication skills to convey technical concepts to both technical and non-technical stakeholders
• Proven leadership and mentorship capabilities
• Ability to work collaboratively across data, engineering, and business teams
• Continuous learner with deep knowledge of emerging AI technologies and industry trends