Specialist, Artificial Intelligence

SaskEnergy•Regina, SK

2d•Onsite

About The Position

SaskEnergy is seeking a qualified and motivated individual to join our team. The Specialist, Artificial Intelligence (AI) is a technical and business-facing role accountable for advancing the adoption, delivery, and effective use of AI across SaskEnergy to create measurable business value. In collaboration with business units, Digital/IT, cybersecurity, and governance teams, the position identifies and prioritizes AI use cases; develops and pilots fit for purpose solutions; and supports workforce readiness through structured training, coaching, and standardized enablement materials.

Requirements

Degree in Computer Science, Data Science, Engineering, Mathematics, or a related discipline.
Eight (8) years of applicable experience, including progressively responsible experience in AI/ML adoption, AI/data product management, or implementation of enterprise AI-enabled solutions.
Strong hands-on experience with generative AI and large language model platforms, and practical experience developing business-ready AI solutions.
Experience designing and implementing AI solutions such as chatbots, AI agents, retrieval-augmented generation (RAG) solutions, and AI-embedded workflows.
Proficiency in software development using Python and/or TypeScript, and experience working in cloud environments, preferably Azure, including services that support AI solution delivery.
Strong understanding of modern AI solution patterns and concepts, including prompt design, grounding, tool calling, orchestration, and agent-based workflows, and related protocols.
Working knowledge of enterprise integration and solution delivery practices, including APIs, identity and access, data flows, testing, release management, monitoring, documentation and support.
Knowledge of responsible AI considerations, including privacy, security, risk, compliance, and governance.
Experience delivering training, coaching, workshops, or other enablement activities for technical and non-technical audiences.
Familiarity with Microsoft 365 Copilot and real-world business use cases.
Strong communication, stakeholder engagement, problem-solving, prioritization, and adaptability skills, with a demonstrated commitment to continuous learning and professional development.
A suitable combination of education and experience may be considered.
Occasional travel, including overnight stays away from bid headquarters, is required.
A valid Class 5 Driver’s License is required.

Responsibilities

Design, develop, test, deploy, and support AI solutions, including chatbots (RAG), AI agents, and AI-embedded workflows.
Provide technical leadership on modern AI solution patterns, including agent skills, tool calling, model context protocols (MCP), prompt design, grounding, orchestration, and tracing.
Partner with software developers and technical teams to incorporate AI capabilities into integrations, automations, custom applications, and enterprise workflows.
Coordinate solution lifecycle activities, including requirements, prototyping, validation, testing, release, monitoring, support, and controlled updates.
Define and apply AI integration patterns aligned to enterprise standards across cloud and application environments.
Develop solutions using both low-code/no-code and pro-code approaches, selecting the appropriate pattern for the use case.
Evaluate AI platforms, tools, vendors, and frameworks for fit within SaskEnergy’s technology environment and long-term strategy.
Identify, assess, prioritize, and support delivery of enterprise AI use cases aligned with business value and organizational priorities.
Establish and mature processes and controls to meet governance, assurance, and ethical AI requirements.
Lead or support AI enablement activities such as workshops, demonstrations, training sessions, playbooks, and role-based learning.
Provide guidance to end users adopting generative AI tools (Microsoft 365 Copilot, etc.).
Manage external AI partnerships, including vendor selection/management, program delivery support, and translation of AI concepts for non-technical audiences.
Build and scale an AI Champions network to promote AI literacy and best practices across business units.