Job ID: 2613643
Location: Reston, VA, US
Date Posted: 2026-06-15
Category: Engineering and Sciences
Subcategory: Systems Engineer
Schedule: Full-Time
Shift: Day Job
Travel: No
Minimum Clearance Required: None
Clearance Level Must Be Able to Obtain: None
Potential for Remote Work: ORA_HYBRID
Description
The AI Agentic Program seeks a Technical Scrum Master with strong experience leading Agile software teams delivering cloud-native, intelligence-driven, and autonomous multi-agent systems. The individual should have deep knowledge of Agile practices and experience coordinating distributed engineering, data, and DevSecOps teams.
Key Responsibilities:
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Serve as Scrum Master for Agile teams developing AI agentic architectures and multi-agent systems.
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Facilitate Agile ceremonies including stand-ups, sprint planning, backlog refinement, reviews, and retrospectives.
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Coordinate work across engineering, data science, and DevOps teams to ensure alignment and delivery readiness.
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Maintain and refine product backlogs, ensuring clarity of requirements and acceptance criteria.
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Oversee Agile delivery workflows using Jira/Gitlab and ensure consistent tracking of sprint metrics.
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Collaborate with engineering teams using GitLab and GitHub for code review and CI/CD visibility.
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Track dependencies, risks, and impediments while driving resolution.
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Communicate progress, risks, and blockers to leadership and stakeholders.
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Support continuous improvement by analyzing velocity, burndown, and throughput metrics.
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Guide teams adopting modern AI/ML and multi-agent workflows within AWS environments.
Qualifications
Skills Required:
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Bachelor’s degree with 6+ years of experience as a Scrum Master, Agile Delivery Lead, or Program Coordinator.
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Strong knowledge of Agile/Scrum frameworks with proven experience facilitating ceremonies and coaching teams.
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Experience supporting teams delivering cloud-native, AI/ML, or distributed agent-based systems.
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Proficiency with Jira for backlog management, sprint tracking, and workflow coordination.
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Experience coordinating with teams using GitLab and GitHub for version control and CI/CD oversight.
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Ability to translate technical concepts into user stories, epics, and actionable sprint tasks.
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Strong communication, facilitation, and stakeholder engagement skills.
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Experience using Agile metrics (velocity, burndown, cycle time) to support continuous improvement.
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Comfortable working in fast-paced environments with emerging AI technologies.