Bachelor's degree in IT, Computer Science, Engineering, Business, Data Science, or related field, or 4 additional years of experience.
Minimum 3 years as a Scrum Master for enterprise software delivery teams.
Experience in a SAFe Agile environment.
Background in delivering AI-enabled information systems or data-driven applications.
Strong knowledge of Agile, Scrum, Kanban, and SAFe principles.
Proven ability to facilitate Agile ceremonies and drive continuous improvement.
Experience with cross-functional teams including Product Owners, engineers, and data scientists.
Responsibilities
Serve as SAFe Agile Scrum Master for Agile teams delivering AI-enabled systems.
Facilitate Agile ceremonies like daily stand-ups and sprint planning.
Support Program Increment (PI) Planning and alignment with program objectives.
Collaborate with Product Owners and stakeholders to ensure delivery predictability.
Ensure consistent application of Agile practices aligned with SAFe principles.
Manage unique delivery considerations for AI systems, including data dependencies.
Promote iterative delivery approaches balancing speed and quality.
Benefits
100% remote work opportunity.
Contract-to-hire position for potential long-term employment.
Flexible work hours with a 40-hour work week.
Opportunity to work on cutting-edge AI-enabled projects.
Full Job Description
Job Title: AI Scrum Master with Python skills MUST HAVE PYTHON PROGRAMMING SKILLS Location: 100 % remote Type: Contract To Hire Compensation: W-2 Negotiable Work Model: Remote Hours: 40 hours a week
Responsibilities
Serve as SAFe Agile Scrum Master for one or more Agile teams delivering AI-enabled information systems in a SAFe Agile environment.
Facilitate Agile ceremonies including daily stand-ups, sprint planning, backlog refinement, sprint reviews, retrospectives, and other team synchronization activities.
Support Program Increment (PI) Planning, iteration execution, dependency coordination, and alignment with broader program objectives.
Partner closely with Product Owners, Release Train Engineers, technical leads, and stakeholders to promote transparency, execution discipline, and delivery predictability.
Help ensure Agile practices are applied consistently and effectively across the team in alignment with SAFe principles and organizational delivery standards.
Enable delivery of AI-enabled information systems supporting capabilities such as document understanding, semantic search, summarization, recommendation, intelligent automation, conversational experiences, and decision-support tools.
Help teams manage unique delivery considerations of AI-enabled systems, including experimentation, iterative model improvement, data dependencies, integration readiness, and validation of AI outputs.
Coordinate across business, engineering, data science, testing, and operations teams to support practical, usable, and supportable AI feature delivery.
Promote iterative delivery approaches that balance speed, quality, trust, governance, and technical feasibility.
Proactively identify, track, escalate, and resolve impediments impacting team delivery, quality, or velocity.
Coach teams on Agile best practices, collaboration, self-organization, estimation, work management, and continuous improvement.
Foster an environment of accountability, focus, transparency, and continuous learning.
Use Agile metrics and team insights to identify improvement opportunities.
Support coordination of dependencies, risks, and integration points across multiple teams and stakeholders.
Facilitate communication between technical and non-technical stakeholders for alignment on scope, progress, and risks.
Contribute to release readiness and support the transition of capabilities into testing, deployment, and operations.
Support quality, governance, and responsible delivery practices, including addressing operational controls such as security and compliance.
Coach team members and stakeholders on SAFe Agile values, Scrum practices, and effective delivery behaviors.
Facilitate retrospectives that lead to actionable improvements and measurable team progress.
Support Agile maturity across the organization by sharing best practices and insights.
Requirements
Bachelor's degree in Information Technology, Computer Science, Engineering, Business, Data Science, or related field, or 4 additional years of experience.
Minimum three (3) years of experience as a Scrum Master supporting enterprise software delivery teams.
Demonstrated experience serving as a Scrum Master in a SAFe Agile environment.
Experience supporting delivery of AI-enabled information systems or similar data-driven applications.
Strong knowledge of Agile, Scrum, Kanban, and SAFe principles and practices.
Proven ability to facilitate Agile ceremonies, coach teams, remove impediments, and drive continuous improvement.
Experience working with cross-functional teams including Product Owners, engineers, data scientists, testers, security teams, and operations.
Strong understanding of software delivery lifecycle practices.
Ability to manage competing priorities, risks, dependencies, and stakeholder expectations.
Experience supporting environments with governance, compliance, security, and quality requirements.
Nice to Have
SAFe Scrum Master (SSM), Certified ScrumMaster (CSM), PMI-ACP, or similar certification.
Experience supporting Generative AI, large language models (LLMs), or AI-assisted software products.
Experience working with sensitive or regulated data (PII, PHI, CUI).
Familiarity with AI/ML delivery concepts such as model evaluation, prompt iteration, and governance controls.
Experience with enterprise platforms such as Jira, Azure DevOps, Confluence, Miro.
Experience supporting teams with platforms like Palantir Foundry, Databricks, Azure AI, AWS AI/ML, OpenAI/Azure OpenAI.
Experience in government, healthcare, or mission-oriented environments.
Experience using Generative AI tools to enhance Scrum Master tasks, ensuring governance and security.
