AI Scrum Master Python - remote

Job Title:

AI Scrum Master with Python skills

Location:

100 % remote
Type:
Contract To Hire
Compensation: W-2 Negotiable
Work Model:
Remote

Hours:

40 hours a week

• 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, escalated, 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.

• 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.

• SAFe Scrum Master (SSM), Certified Scrum Master (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 Dev Ops, 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…