Scrum Master - AI Prototyping Job at Randstad (Calgary)

Job Description

As the Agile Delivery Lead, you will be the operational anchor of a fast-paced AI prototyping POD. You will partner closely with Product Owners, Data Engineers, and AI/ML Developers to manage and prioritize AI-focused backlogs while aggressively removing impediments and mitigating delivery risks. This role requires more than standard Scrum master capabilities; you must possess the technical fluency to engage meaningfully with AI engineers on concepts like LLMs, RAG, and LLMOps, turning experimental prototypes into scalable production-ready solutions.

Job Responsibility

Facilitate all core Agile ceremonies, including sprint planning, daily stand-ups, sprint reviews, and retrospectives, driving strict adoption of best practices
Partner with the Product Owner to build, refine, and prioritize highly technical, AI-focused backlogs
Proactively identify and remove system impediments, manage cross-team dependencies, and mitigate delivery risks to maintain sprint momentum
Align weekly sprint outcomes with broader, long-term product and portfolio goals
Maintain and apply a working understanding of AI/GenAI delivery lifecycles, interfacing confidently with engineers regarding LLMs, multi-agent systems, RAG, embeddings, and vector databases
Collaborate meaningfully with AI engineers and architects to navigate MLOps/LLMOps deployment hurdles and productionization constraints
Help the team translate speculative data experimentation into structured, time-bound sprint goals
Track and report critical Agile metrics (such as team velocity, burn-down, and sprint progress) to ensure radical transparency
Provide concise, value-focused health and status updates to executive leadership
Coach and mentor team members on predictability, self-organization, and continuous improvement frameworks
Foster a culture of regular reflection to optimize internal development processes

Requirements

8–10 years of professional Agile-Scrum experience (Industry senior-level benchmark)
Proven track record leading delivery for high-velocity software engineering, data engineering, or AI/ML development teams
Demonstrated ability to operate with minimal oversight, drive outcomes independently, and supervise/mentor team members
Strong conceptual understanding of modern AI architectures (Large Language Models, Retrieval-Augmented Generation, embeddings)
Familiarity with data pipeline infrastructure and cloud-based AI productionization (MLOps)
Deep proficiency with enterprise Agile management tools (e.g., Jira, Confluence) and dashboard reporting infrastructure

What we offer

Cutting-Edge Technical Domain: Immerse yourself in next-generation AI workflows, including multi-agent systems, vector databases, and generative AI lifecycles
High Autonomy & Impact: Operate with minimal oversight as an independent driver of outcomes, with the authority to shape team processes and mentor pod members
Executive Visibility: Own the tracking and reporting of high-level Agile metrics, providing concise, outcome-focused updates directly to executive stakeholders
True Cross-Functional Leadership: Act as the central connective tissue between product, platform, data engineering, and advanced machine learning development teams

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Scrum Master - AI Prototyping

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