Siemens Digital Industries Software · 21 hours ago
Senior Scrum Master - Agentic AI Enabled Programs & Full Stack Software Development
Charlotte, NC
Full-time
Hybrid
Senior Level
5+ years expSiemens Digital Industries Software is an innovation leader in automation and digitalization. They are seeking a dynamic and seasoned Scrum Master to provide Agile leadership to multi-disciplinary engineering teams delivering complex software solutions, with a specialized focus on integrating Agentic AI tools into Agile delivery processes.
Computer Software
Responsibilities
Lead and mature Agile execution across software development, platform engineering, DevOps, and cross functional integration teams
Apply SAFe frameworks in environments requiring deterministic flow, compliance, and high system reliability
Drive alignment between system architecture, sprint commitments, dependency management, and release milestones
Facilitate highfidelity team ceremonies, ensuring technical risks, architectural impacts, and integration points are fully surfaced and addressed
Remove impediments, anticipate delivery risks, and promote healthy team dynamics
Leverage Agentic AI systems to monitor sprint health, detect bottlenecks, and surface workflow improvement recommendations
Implement AI driven automation to streamline Scrum tasks such as: velocity reports, burndown charts, backlog refinement suggestions, sprint summaries, and release note generation
Partner with engineering teams to integrate AI agents into CI/CD pipelines, development tools, and documentation systems
Assess the feasibility of AI-generated recommendations, ensuring alignment with engineering best practices
Promote responsible AI usage, transparency, and continuous learning across the team
Deploy Agentic AI agents capable of autonomously analyzing engineering pipelines, including CI/CD telemetry, merge activity, test coverage, runtime logs, and operational metrics
Drive improvements across the full software lifecycle: coding, branching strategy, automated testing, security scanning, packaging, deployment, and observability
Enhance delivery consistency using AI supported value stream mapping and configuration time analytics
Partner with DevOps and Cloud Engineering to instrument pipelines for traceability, telemetry capture, and realtime sprint health monitoring
Influence architecture decisions by surfacing databacked insights on performance, reliability, risk, and delivery predictability
Own key Agile performance metrics (cycle time, throughput, WIP, predictability) and enhance them with AI powered analytics
Use AI-driven retrospectives to identify long-term patterns and guide process experimentation
Develop dashboards and intelligent reporting that increase visibility and foster data-informed decisionmaking across the program
Build and maintain advanced metrics pipelines using AI to augment traditional Agile KPIs: Cycle time variance detection, Engineerlevel flow efficiency, Build/test failure clustering, Automated dependency risk graphs, Predictive velocity forecasts
Maintain alignment between team activities, product strategy, and organizational objectives
Communicate progress, risks, and key insights to leadership in clear, data-backed updates
Foster a culture of collaboration across engineering, product, QA, and business stakeholders
Support technical readiness reviews, compliance milestones, and major release events
Champion a culture of engineering excellence, automation, and intelligent augmentation
Qualification
Required
Engineering background (Full Stack Software Engineer, DevOps, SysEng, SRE, QA Automation, or similar)
5+ years of experience as a Scrum Master, Agile Lead, or Technical Program Lead within engineering-heavy or mission-critical environments
Strong working knowledge of software engineering practices: architecture, APIs, microservices, build systems, test frameworks, CI/CD, cloud platforms, or embedded systems
Hands-on experience with AI/ML tooling, automation frameworks, copilot or Agentic AI systems
Demonstrated ability to support technically complex programs involving multi-team integration
Strong foundational understanding of software development concepts (SDLC, APIs, cloud, version control, CI/CD, testing)
Fluency in Jira, AWS, Azure DevOps, GitLab, GitHub Enterprise, or similar engineering lifecycle tools
Certifications: CSM, PSM, SAFe, ICAgile, or equivalent
Preferred
Experience designing or integrating AI agents into engineering workflows
Experience in cloud platforms (Azure, AWS, GCP) or container-orchestrated systems (Kubernetes)
Strong understanding of DevOps, cybersecurity controls, and automated compliance
Background as a developer, QA engineer, or technical analyst
Experience in DevOps, cloud technologies, or AI-enhanced engineering practices
Ability to translate data insights into strategic team or process improvements
Benefits
Flexibility - Choosing between working at home and the office at other times is the norm here.
Great benefits and rewards
Company
Siemens Digital Industries Software
We help organizations of all sizes digitally transform using software, hardware and services from the Siemens Xcelerator business platform.
5001-10000 employees
H1B Sponsorship
Siemens Digital Industries Software has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (1)
2022 (1)
Funding
Current Stage
Late StageLeadership Team
Aleksandar Bradic
Chief Technology Officer, Supplyframe
Kirk Gutmann
Senior VP Technology & Innovation — CTO
Company data provided by crunchbase