AI-Driven IT Project Engineer Delivering Automation

RFA

New York (NY)

On-site

USD 90,000 - 130,000

Full time

8 days ago

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Job summary

RFA is actively seeking a Project Engineer to drive complex IT initiatives in a client-facing, MSP-like environment. You will own technical delivery, coordinate cross-functional teams, and lead engagements from discovery through deployment, emphasizing AI-native approaches to improve efficiency and quality.

Candidates should bring 3–6+ years of project engineering or infrastructure delivery experience, strong Microsoft/Azure skills, and a solid background in virtualization and DR/BC strategies.

Qualifications

  • 3–6+ years in project engineering or infrastructure delivery.
  • Experience delivering infrastructure, cloud, or IT transformation projects.
  • Strong knowledge of Microsoft 365 suite and Azure cloud.
  • Familiarity with virtualization (VMware, Hyper-V, Citrix) and DR/BC solutions.
  • Experience in MSP or client-facing environments preferred.
  • Knowledge of Agile, Waterfall, PRINCE2 methodologies.
  • Excellent written and verbal communication and documentation skills.

Responsibilities

  • Execute complex project implementations with limited oversight.
  • Lead technical analysis, solution implementation, system integration, and infrastructure deployment.
  • Coordinate planning, testing, documentation, and deployment activities to ensure successful delivery.
  • Develop detailed project plans, schedules, and resource requirements.
  • Manage assigned tasks and ensure work is completed and formally closed out.
  • Conduct discovery to define requirements and scope.
  • Work with vendors, partners, and internal teams to support full lifecycle delivery.
  • Act as a technical escalation point for project delivery challenges.
  • Collaborate with engineering teams and functional groups to design and implement solutions.
  • Contribute to the development and refinement of technical documentation, standards, and best practices.
  • Support continuous improvement of project delivery processes and technical quality.
  • Gather technical and business requirements from clients and internal stakeholders.
  • Act as a primary point of contact for project-related communication.
  • Facilitate project meetings, status updates, and stakeholder reviews.
  • Manage client expectations and ensure alignment with agreed deliverables.
  • Coordinate with third-party vendors and technology providers.
  • Contribute to structured QA processes across project delivery.
  • Validate implementations against defined standards and requirements.
  • Support development and refinement of QA checklists and validation methods.
  • Promote consistency and repeatability across projects through standardized practices.
  • Operate with an AI-native delivery model, integrating AI and automation tools throughout the project lifecycle.
  • Leverage AI-assisted tools to accelerate documentation creation, requirements analysis, and technical validation.
  • Utilize automation frameworks, scripts, and orchestration tools to reduce manual effort and improve consistency.
  • Contribute to the creation and maintenance of reusable automation playbooks that standardize common project tasks.
  • Apply AI tools to analyze project environments, identify risks, and suggest remediation or optimization opportunities.
  • Support integration between systems, APIs, and automation platforms to enable scalable and repeatable deployments.
  • Maintain awareness of emerging AI and automation capabilities and apply them pragmatically while ensuring data security and governance standards.

Skills

Project engineering
Technical delivery
Infrastructure
Cloud platforms
Microsoft technologies
Communication

Tools

VMware
Hyper-V
Citrix
Azure Virtual Desktop
Active Directory
Entra ID
Windows Server
Azure

Job description

RFA is actively seeking a Project Engineer to drive complex IT initiatives in a client-facing, MSP-like environment. You will own technical delivery, coordinate cross-functional teams, and lead engagements from discovery through deployment, emphasizing AI-native approaches to improve efficiency and quality.

Candidates should bring 3–6+ years of project engineering or infrastructure delivery experience, strong Microsoft/Azure skills, and a solid background in virtualization and DR/BC strategies.

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