Senior Scrum Master & Agentic AI Enabled Programs & Full Stack Software Development

Siemens Mobility; New Brunswick; Hybrid; CAD 90,000 - 162,000; Full time

Job summary

A leading global technology company is seeking a Senior Scrum Master to drive Agile processes and integrate AI within engineering teams. This role involves leading complex software development initiatives and improving delivery through automation and AI-enabled tools. Candidates should have over 5 years of experience in similar roles, a strong engineering background, and familiarity with Agile methodologies. The position offers a competitive salary between $90,000 - $162,000 annually, depending on experience and qualifications.

Benefits

Flexible working arrangements

Health and wellness benefits

Qualifications

• 5+ years of experience as a Scrum Master, Agile Lead, or Technical Program Lead.
• Experience in high-complexity engineering environments.
• Hands-on experience with AI/ML tooling and automation frameworks.

Responsibilities

• Lead Agile execution across software development teams.
• Drive alignment between architecture and sprint commitments.
• Leverage AI systems to monitor sprint health and detect bottlenecks.

Skills

Agile leadership

AI/ML knowledge

Cloud platforms

DevOps practices

Technical program management

Software engineering practices

Education

Engineering background

Relevant certifications (CSM, PSM, SAFe, ICAgile)

Tools

Jira

AWS

Azure DevOps

GitLab

Job description

Senior Scrum Master - Agentic AI Enabled Programs & Full Stack Software Development

Siemens Industry Software Inc. | Siemens Digital Industries

Research & Development

Siemens Digital Industries is an innovation leader in automation and digitalization. We seek a dynamic and seasoned Scrum Master to join our technology and innovation team. This role focuses on integrating Agentic AI tools and intelligent automation into Agile delivery processes, while leading Agile ceremonies and supporting teams designing and creating new technologies with data scientists, developers, and domain experts.

Overview

The Senior Scrum Master provides Agile leadership to multi-disciplinary engineering teams delivering complex, large-scale software, platform, and system integration solutions. This role requires strong technical fluency and experience in high-complexity environments such as cloud engineering, embedded systems, AI/ML, cybersecurity, DevOps, and enterprise-grade architectures. The ideal candidate blends traditional Scrum leadership with a deep understanding of software development and AI-enabled delivery models.

Core Responsibilities

• Agile Leadership in High Complexity Engineering Environments: 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 high-fidelity team ceremonies, ensuring technical risks, architectural impacts, and integration points are surfaced and addressed.
• Remove impediments, anticipate delivery risks, and promote healthy team dynamics.
• Agentic AI Integration & Automated Workflow Optimization: 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.
• Backlog grooming & technical decomposition, story estimation & complexity classification, anomaly detection in build/test failures, sprint/PI forecasting, and intelligent risk surfacing.
• Integrate AI copilots into engineering workflows (IDE coding assistance, automated test generation, architecture evaluations, traceability).
• Validate AI recommendations through engineering rigor, ensuring outputs meet security, compliance, and reliability standards.
• Technical Collaboration & Engineering Alignment: Translate impediments, risks, and dependencies into actionable plans; collaborate with architects and developers to ensure sprint goals are technically realistic.
• Support teams with AI-assisted code reviews, automated test insights, or technical documentation generation (when appropriate).
• Champion DevOps, automation, and engineering excellence within the Agile process; collaborate with architects, developers, SREs, testers, and DevOps engineers.
• Partner with engineering leadership to translate architectural roadmaps, epics, and technical debt into actionable backlogs; identify systemic constraints across microservices, pipelines, integrations, or infrastructure.
• Facilitate resolution of technical blockers across environment provisioning, build systems, APIs, data flows, and deployment pipelines.
• SDLC Optimization, Tooling, & Delivery Architecture: Drive improvements across the full software lifecycle; enhance delivery using AI-enabled value stream mapping and analytics.
• Instrument pipelines for traceability, telemetry capture, and real-time sprint health monitoring; influence architecture decisions with data-backed insights.
• AIAugmented Metrics, Dashboards & Reporting: Own and enhance Agile performance metrics with AI-powered analytics; develop dashboards and intelligent reporting for data-informed decisions.
• Build and maintain advanced metrics pipelines using AI to augment traditional Agile KPIs (cycle time variance, flow efficiency, build/test failure clustering, dependency risk graphs, predictive velocity).
• Deliver technical insights and readiness assessments to engineering leadership, program management, and product stakeholders.

Required Qualifications

• 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 in 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.
• Foundational understanding of 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 Qualifications

• 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.

Why Us?

Working at Siemens Software offers flexibility between working at home and the office. We provide great benefits and rewards, supported by a global team of over 377,000 minds in over 200 countries. Siemens is an Equal Opportunity Employer, and we welcome applications reflecting the diversity of the communities we serve.

You’ll Benefit From

Siemens offers a variety of health and wellness benefits. Details are available here: https://www.benefitsquickstart.com/siemens/index.html

Compensation

The pay range for this position is 90,000 - 162,000 annually with a target incentive of 3-5% of the base salary. The actual wage offered will depend on budget and candidate experience, knowledge, skills, qualifications, and location.

Equal Employment Opportunity & Legal Notices

Siemens is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, disability, marital status, pregnancy, genetic information, sexual orientation, gender expression, gender identity, veteran status, or other protected categories as required by law.

EEO is the Law. Applicants and employees are protected from discrimination on the basis of race, color, religion, sex, national origin, or any characteristic protected by applicable law.

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