Agentic AI Engineer

Lead secure, scalable delivery across Agentic AI and cloud-native platform initiatives in a Scrum Master and technical delivery management role.

Responsibilities

• Own Agile delivery for assigned initiatives across Agentic AI, Kubernetes, container platform, Port.io, and IDP.
• Facilitate team-level Agile ceremonies: sprint planning, backlog refinement, daily stand-ups, sprint reviews, and retrospectives.
• Partner with Product Owners and engineering leadership to keep backlogs prioritized, refined, actionable, and aligned to committed outcomes.
• Support PI Planning by driving team readiness, backlog alignment, dependency discovery, risk identification, and delivery commitments for the scope you own.
• Enable predictable execution by monitoring commitments, throughput, flow, dependencies, risks, blockers, and overall delivery health.
• Coordinate delivery execution across engineering, architecture, infrastructure, security, and other technology teams.
• Identify and remove team impediments; escalate issues and decisions that require portfolio or leadership involvement.
• Maintain accurate delivery visibility in Jira, including progress, dependencies, risks, blockers, and outcomes.
• Coordinate Kubernetes and container platform delivery, covering platform automation, observability, security, reliability, and lifecycle management.
• Lead Port.io and IDP delivery coordination for developer self-service, standardization, automation, and improvements to developer experience.
• Coordinate cross-domain dependencies across Kubernetes, cloud infrastructure, CI/CD, DevSecOps, IAM, networking, monitoring, and application teams.
• Coordinate platform onboarding and adoption activities across development teams.
• Partner with technical leaders to ensure dependencies, environment needs, technical decisions, and readiness requirements are discovered early and actively managed.
• Translate platform engineering work into measurable delivery outcomes including faster delivery, improved reliability, greater standardization, increased automation, and reduced operational friction.
• Lead Agile delivery for Agentic AI capabilities supporting Enterprise Architecture and architecture-related workflows.
• Coordinate execution across Enterprise Architecture, AI, Cloud & Infrastructure, cybersecurity, identity, engineering, and other participating teams.
• Track dependencies for AI capabilities across platform services, infrastructure, integrations, security, identity/access, and governance.
• Coordinate end-to-end delivery activities from backlog readiness and development through evaluation, release readiness, and operational transition.
• Facilitate technical and business discussions while keeping clear accountability between Product, Architecture, Engineering, and Delivery.
• Identify and escalate unresolved cross-team architecture, technical, security, or dependency issues that could affect committed delivery outcomes.
• Maintain delivery plans, milestones, risks, actions, issues, and dependencies for assigned initiatives.
• Own RAID management within delivery scope; escalate portfolio-level risks and dependencies through established Portfolio and Release Train governance.
• Support decision-making and accountability without serving as the solution architect or hands-on engineer.
• Maintain alignment among Product Owners, architects, engineering teams, platform teams, security, infrastructure, and delivery stakeholders.
• Provide concise delivery reporting on outcomes delivered, delivery health, upcoming commitments, risks, blockers, dependencies, and decisions needed.
• Coordinate with vendors and technology partners when required.
• Drive commitment follow-through on actions and decisions.

Requirements

• 5+ years of experience in Scrum Master, Agile delivery, technical project management, or comparable technology delivery roles.
• Proven experience leading complex initiatives involving multiple engineering and technical teams.
• Experience in one or more of: cloud infrastructure, platform engineering, Kubernetes/container platforms, developer platforms, DevOps, AI, or Enterprise Architecture environments.
• Strong understanding of Agile and Scrum delivery practices.
• Experience supporting scaled or enterprise Agile planning and execution.
• Ability to manage delivery commitments, risks, dependencies, impediments, milestones, and cross-team coordination.
• Hands-on experience using Jira for backlog, delivery, dependency, risk, and progress management.
• Ability to partner effectively with software engineers, infrastructure engineers, architects, Product Owners, cybersecurity teams, and technology leadership.
• Strong facilitation, communication, stakeholder management, problem-solving, and escalation-management skills.
• Technical fluency to understand architecture and engineering discussions and translate technical complexity into delivery impacts and actionable next steps.

Technologies

• Kubernetes
• Port.io
• IDP
• Jira
• CI/CD
• DevSecOps
• IAM
• API/microservices
• Enterprise Architecture
• DevOps
• SRE
• Observability

Preferred Qualifications

• Experience supporting Kubernetes and container platform delivery.
• Experience with Port.io or other Internal Developer Platform/developer portal technologies.
• Experience supporting Agentic AI, Generative AI, AI platform, or AI-enabled automation initiatives.
• Experience working with Enterprise Architecture teams.
• Familiarity with cloud-native architecture and cloud infrastructure.
• Familiarity with CI/CD, DevSecOps, SRE, observability, IAM, networking, APIs/microservices, and infrastructure automation.
• Experience coordinating third-party technology vendors or consulting partners.
• Scrum Master, SAFe, PMP, or comparable Agile/delivery certification preferred.

Equal Opportunity Employer

Robotics Technologies is an equal opportunity employer. Hiring, promotion, discipline, and termination decisions are based on merit, competence, performance, and business needs.