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; escalated 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 accelerate 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; escalated 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.

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