AI Strategist

ENMAX • Calgary, AB

1d • Hybrid

About The Position

The AI Strategist transforms ENMAX’s AI ambition into measurable business value and scalable impact. As a critical member of Enterprise data and AI team, this role brings pragmatism and clarity to AI adoption by helping the organization focus on the high value use cases in alignment with ENMAX’s AI ambition and strategy. This role gathers business requirements, produces clear technical documentation, and partners closely with business, governance, and technical teams to ensure AI initiatives are delivered successfully. Acting as a bridge between strategy and execution, the role operationalizes AI enablement through design thinking, engineering capabilities, value driven scalability, education, and ongoing alignment with ENMAX’s AI strategy.

Requirements

• Minimum 5 years of professional experience, with 2+ years of hands-on experience in traditional machine learning and AI development, with exposure to Gen AI/agentic AI concepts.
• Hands-on experience building AI agents with LLMs, including RAG, using frameworks, such as LangChain, AutoGen, OpenAI APIs etc.
• Proven programming skills with Python, with focus on ML/AI libraries and frameworks.
• Expertise in Azure AI tools including OpenAI, Foundry, Functions, Logic Apps, and Teams Toolkit.
• Understanding of MLOps practices, including CI/CD pipelines, model versioning, and monitoring.
• Experience building solutions with low-code/no-code AI platforms (Microsoft Copilot Studio, Power Platform, or similar).
• Proven expertise in identifying use cases, defining project scope, and delivering effective solutions within resource limitations.
• An outcome-oriented and pragmatic approach that prioritizes scalable adoption and measurable results.
• Experience working with cross-functional stakeholders (such as enterprise architecture, legal, security etc.), enterprise-level strategies, and emerging technologies.
• Experience in driving AI adoption in an organization through implementation of fully productionized use cases.
• Ability to translate complex technical concepts into clear language and set boundaries involving effective use of AI across diverse audiences.
• Collaboration: Lead and facilitate workshops for stakeholder analysis, support and execution of testing strategies, user acceptance testing, as well as training and communication plans. Ability to build strong relationships across departments and influence stakeholders.
• Adaptability: Comfortable navigating ambiguity and shifting priorities in a dynamic environment. Quick ability to assimilate new concepts, business models, and technologies. Experience in both Waterfall and Agile project environments.
• Initiative: Proactive in identifying opportunities and driving improvements.
• Strategic Mindset: Thinks beyond immediate tasks to connect initiatives to broader organizational goals. Anticipates long-term impacts, identifies opportunities for growth, and guides decisions with a big-picture perspective.
• Influence & Communication: Communicate complex AI concepts in a clear, accessible way to diverse audiences. Confident engaging executives and cross-functional teams to build alignment, trust, and momentum.
• Must be legal to work in Canada and requires the successful completion of a criminal background check. Two pieces of valid Government issued ID will be required.

Nice To Haves

• Generative AI training or certifications (Microsoft Certified: Azure AI Engineer Associate, Databricks Certified Generative AI Engineer Associate etc.) are considered an asset

Responsibilities

• AI Strategy and Design: Build effective collaborations with business, analytics and IT stakeholders to identify and prioritize high-value AI use cases.
• Understand existing business processes and capabilities, and translate opportunities/ideas into actionable AI use cases.
• Build an informed view of AI tools, techniques and platforms, and guide AI adoption with focus on reducing overlap and maximizing existing capabilities.
• Build and maintain a backlog of AI opportunities that is regularly curated through engagement with business and IT stakeholders.
• Lead and facilitate AI discovery workshops to elicit, analyze and document business requirements that can be functional, non-functional, and technical from a wide range of stakeholders.
• AI Engineering and Solution Enablement: Design and implement Gen AI/agentic AI systems, including RAG, single-agent and multi-agent architectures, for various business domains across ENMAX.
• Understand domain-specific challenges or opportunities across the enterprise, and translate them into scalable AI solutions.
• Leverage Azure AI Foundry, CoPilot Studio, Agent Bricks, Azure OpenAI, Graph connectors, API plugins, Azure AI Search, and Vector Databases to deliver fit-for-purpose solutions for AI opportunities.
• Implement best practices in source code management, adopt and guide the LLM/AIOps lifecycle, including model tracking, deployment, and monitoring within Azure DevOps, GitHub and Databricks environments.
• Collaborate with other AI SMEs, privacy and governance stakeholders, and service partners while developing or guiding development of PoC, MVPs or fully scaled production solutions that agentic reasoning, planning, and collaboration.
• Maintain up-to-date knowledge of advancements in generative AI, agentic AI, reinforcement learning, and multi-agent systems, with focus on Microsoft Azure stack (including Databricks).
• Contribute to AI adoption Metrics, reporting and executive ready insights on AI usage, risk posture and compliance status.

Benefits

• competitive compensation
• comprehensive flexible benefits program
• non-downtown location
• great building amenities such as free onsite fitness facility
• onsite massage
• onsite child care centre (upon availability, offered from our ENMAX Place location 141 – 50 Ave. SE)
• free parking

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 501-1,000 employees