Agentic AI Engineer

This role combines Scrum Master leadership with technical delivery management, enabling engineering teams to deliver secure, scalable, automated cloud-native and AI-enabled platform capabilities. The Delivery Leader will drive execution across platform engineering, Enterprise Architecture, Dev Ops, infrastructure, cybersecurity, cloud, and application teams while maintaining clear visibility into delivery progress, dependencies, risks, impediments, and outcomes.

The role is accountable for team-level delivery execution, Agile delivery discipline, impediment removal, dependency management, risk identification, and escalation. The Delivery Leader partners closely with Product Owners, engineering and architecture leaders, and Portfolio/Release Train leadership to ensure team execution remains aligned with broader portfolio priorities and commitments.

The successful candidate does not need to be a hands-on Kubernetes, platform, or AI engineer but must possess sufficient technical fluency to understand engineering and architecture discussions, identify delivery impacts and dependencies, and translate technical complexity into actionable delivery plans.

• Lead Agile delivery for assigned Agentic AI, Kubernetes, container platform,Port.io, and IDP initiatives.
• Facilitate sprint planning, backlog refinement, daily stand-ups, sprint reviews, retrospectives, and other team-level Agile ceremonies.
• Partner with Product Owners and engineering leaders to ensure backlogs are prioritized, refined, actionable, and aligned with committed outcomes.
• Support PI Planning through team readiness, backlog alignment, dependency identification, risk identification, and delivery commitments for assigned initiatives.
• Drive predictable delivery by monitoring commitments, throughput, flow, dependencies, risks, blockers, and overall delivery health.
• Coordinate execution across engineering, architecture, infrastructure, security, and other technology teams.
• Proactively identify and remove team-level impediments and expedite issues or decisions requiring broader portfolio or leadership intervention.
• Maintain accurate delivery information in Jira and provide transparent visibility into progress, dependencies, risks, blockers, and outcomes.

• Coordinate delivery of Kubernetes and container platform capabilities, including platform automation, observability, security, reliability, and lifecycle management.
• Lead delivery coordination forPort.ioand IDP capabilities supporting developer self-service, standardization, automation, and improved developer experience.
• Coordinate dependencies across Kubernetes, cloud infrastructure, CI/CD, Dev Sec Ops , 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 identified early and actively managed.
• Help translate platform engineering work into measurable outcomes such as 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 related to AI capabilities, platform services, infrastructure, integrations, security, identity/access, and governance.
• Coordinate delivery activities from backlog readiness and development through evaluation, release readiness, and operational transition.
• Facilitate delivery and technical discussions while maintaining clear accountability between Product, Architecture, Engineering, and Delivery roles.
• Identify and elevate unresolved architecture, technical, security, or cross-team dependencies that may impact committed delivery outcomes.

• Maintain delivery plans, milestones, risks, actions, issues, and dependencies for assigned initiatives.
• Own RAID management within the assigned delivery scope and elevate portfolio-level risks and dependencies through established Portfolio and Release Train governance.
• Facilitate technical and business decision-making without serving as the solution architect or…