Scrum Master

About the Role

Konverge.ai is looking for an experienced Senior Scrum Master with 8+ years of overall experience to drive Agile delivery across technology and AI-focused product development teams.

The ideal candidate will have strong expertise in Scrum, Agile delivery, stakeholder management, team leadership, and delivery governance, along with hands-on exposure to AI/ML, Generative AI, LLM, or AI-driven products/projects.

This role requires someone who can work closely with Product Managers, Engineering Leaders, AI/ML teams, Architects, and business stakeholders to ensure predictable, high-quality delivery while continuously improving team effectiveness and Agile maturity.

Key Responsibilities

• Lead and facilitate Agile/Scrum ceremonies including Sprint Planning, Daily Stand-ups, Backlog Refinement, Sprint Reviews, and Retrospectives.
• Own and drive the end-to-end Agile delivery process for multiple technology/AI initiatives.
• Partner with Product Managers and Product Owners to ensure well-defined, prioritized, and sprint-ready backlogs.
• Track sprint progress, dependencies, risks, issues, and delivery milestones.
• Identify and proactively remove impediments and blockers impacting engineering and AI teams.
• Work closely with cross-functional teams including Software Engineers, Data Scientists, ML Engineers, AI Engineers, QA, DevOps, Product, and Architecture teams.
• Facilitate effective collaboration between technical teams and business stakeholders.
• Monitor Agile metrics such as velocity, sprint burndown/burnup, cycle time, throughput, predictability, and release progress.
• Identify delivery risks and communicate them proactively to senior leadership.
• Drive continuous improvement through retrospectives, root-cause analysis, and Agile best practices.
• Support teams in adopting Agile principles, Scrum practices, and engineering best practices.
• Coordinate dependencies across multiple Scrum teams and support program-level delivery where required.
• Assist Product Owners and engineering leadership with release planning, roadmap execution, capacity planning, and prioritization.
• Ensure transparency of delivery status, risks, dependencies, and timelines across stakeholders.
• Help teams operate effectively in a fast-paced environment with changing requirements and evolving AI technologies.
• Drive Agile transformation and improve team maturity, collaboration, ownership, and delivery predictability.

Mandatory Skills & Experience

• 8+ years of overall professional experience, with significant experience as a Scrum Master / Agile Delivery Lead.
• Strong hands-on experience working in Agile/Scrum environments.
• Mandatory exposure to AI/ML projects or AI-driven products.
• Experience working with Generative AI, LLMs, Machine Learning, NLP, Computer Vision, AI platforms, or AI-enabled applications will be highly preferred.
• Strong understanding of SDLC, software engineering, product development, and Agile delivery.
• Proven experience managing multiple teams/projects or complex technology initiatives.
• Strong stakeholder management and communication skills.
• Experience working with cross-functional technical teams.
• Strong knowledge of Scrum ceremonies, Agile principles, backlog management, sprint planning, release planning, and Agile metrics.
• Demonstrated experience in risk, dependency, issue, and impediment management.
• Strong problem-solving and conflict-resolution abilities.
• Experience with Agile project management tools such as Jira, Confluence, Azure DevOps, or equivalent.

AI Exposure Mandatory

Candidates must have practical exposure to AI/ML initiatives, rather than only mentioning AI as a keyword.

Relevant experience may include working with teams delivering:

• Generative AI / GenAI applications
• Large Language Models (LLMs)
• AI/ML platforms
• Machine Learning products
• NLP / Conversational AI
• AI-powered applications
• Recommendation or prediction systems
• Computer Vision
• AI Agents / Agentic AI
• MLOps / ML platforms

The Scrum Master is not required to be hands-on technically in AI, but should understand the AI product development lifecycle, terminology, dependencies, experimentation/iteration cycles, and challenges involved in delivering AI/ML projects.

Preferred Qualifications

• Certified Scrum Master such as CSM / PSM / SAFe Scrum Master.
• Experience working in AI, SaaS, product engineering, technology consulting, or digital product organizations.
• Experience managing distributed or globally located teams.
• Experience with SAFe, Kanban, or other Agile frameworks.
• Exposure to DevOps, CI/CD, cloud platforms, microservices, or modern software engineering practices.
• Experience supporting Agile transformation or process improvement initiatives.

Key Competencies

• Agile & Scrum Leadership
• AI/ML Project Exposure
• Delivery Management
• Stakeholder Management
• Risk & Dependency Management
• Team Facilitation
• Conflict Resolution
• Release & Sprint Planning
• Agile Metrics & Reporting
• Continuous Improvement
• Cross-functional Collaboration
• Leadership & Communication