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.
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Advantages
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.
Responsibilities
1. Agile Ceremonies & Delivery Management
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.
2. Technical Fluency & AI Lifecycle Collaboration
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.
3. Metrics, Coaching & Continuous Improvement
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.
Qualifications
Core Requirements
Experience: 8–10 years of professional Agile-Scrum experience (Industry senior-level benchmark).
Domain Expertise: Proven track record leading delivery for high-velocity software engineering, data engineering, or AI/ML development teams.
Leadership Depth: Demonstrated ability to operate with minimal oversight, drive outcomes independently, and supervise/mentor team members.
Technical Familiarity
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.
Summary
Our Client is seeking a senior-level Agile Delivery Lead to head agile delivery for a high-velocity AI prototyping team. This role combines elite Agile leadership with deep technical fluency to cultivate high-performing teams working on AI- and data-intensive solutions. If you excel at driving momentum in cutting-edge spaces and translating complex AI workflows into structured, predictable delivery cycles, this role offers an incredible opportunity to make an impact.
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
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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.
Advantages
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.
...
Responsibilities
1. Agile Ceremonies & Delivery Management
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.
2. Technical Fluency & AI Lifecycle Collaboration
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.
3. Metrics, Coaching & Continuous Improvement
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.
Qualifications
Core Requirements
Experience: 8–10 years of professional Agile-Scrum experience (Industry senior-level benchmark).
Domain Expertise: Proven track record leading delivery for high-velocity software engineering, data engineering, or AI/ML development teams.
Leadership Depth: Demonstrated ability to operate with minimal oversight, drive outcomes independently, and supervise/mentor team members.
Technical Familiarity
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.
Summary
Our Client is seeking a senior-level Agile Delivery Lead to head agile delivery for a high-velocity AI prototyping team. This role combines elite Agile leadership with deep technical fluency to cultivate high-performing teams working on AI- and data-intensive solutions. If you excel at driving momentum in cutting-edge spaces and translating complex AI workflows into structured, predictable delivery cycles, this role offers an incredible opportunity to make an impact.
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
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