HNTB

Principal AI Infrastructure Engineer – Part-time

HNTB

part-time

Posted on:

Location Type: Hybrid

Location: Arlington • Virginia • United States

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Job Level

Lead

Tech Stack

AWSAzureCloudDockerKubernetes

About the role

  • Leads service improvement initiatives and activities to increase customer satisfaction.
  • Works with IT solutions, architecture, utility, and cloud services.
  • Acts as technical lead for enterprise data management platform implementation for CRM redesign.
  • Manages and creating user accounts, directory access, and server permissions.
  • Manages the in-house services related to the internet.
  • Trains and educates customers on how to use certain software and hardware as requested.
  • Performs development and architecture for software, database, third-party integration, internationalization and infrastructure.
  • Sponsors roadmap, physical of failures correlation between system hardware, firmware and software, network topology infrastructure, reliability simulation at system and network level
  • Contributes in the development of marketing and collateral material relating to technology services or products.
  • Leads business development and planning efforts, including calculation of cost, risk, and scope, and support local offices in preparation of responses to RFPs, RFIs and RFQs by providing expertise on specialized technologies and/or practices.
  • Provides single point of contact for technology projects and products and/or leads specific technical or functional portions of a project.
  • Determines scope of work and objectives; estimate project costs and prepare proposals and contracts.
  • Actively manages project budget, schedule, communications and documentation.
  • Coordinates work efforts; reviews work performed, and communicates regularly with department leadership on project progress.
  • Applies expert business skills and consulting methodologies to collect and analyze data to determine the applicability, functionality, and viability of new technologies.
  • Advocates for internal and external clients by establishing user groups and acting as a liaison between users and the technology office.
  • Supports the identification of internal resources and external contractors to meet project requirements.
  • Researches new and emerging technologies and assess feasibility applications to current and future business needs.
  • Analyzes business unit activities and trends and compares analyses against service standards and best practices.
  • Presents findings to business unit leadership and identifies and implements strategies that will address tactical and strategic goals.
  • Works with clients and technology office staff to identify, analyze, design, develop and implement fully integrated solutions of moderate to high complexity that support HNTB’s products, service and/or business processes.
  • Develops detailed documentation of business systems and user needs, including workflow, program functions, and steps required to develop or modify compute programs or systems.
  • Reviews use cases and other technical documents with technology office project staff to ensure business requirements are adequately reflected in technical planning.
  • Defines, develops and implements quality assurance practices and end user test plans.
  • Ensure process, conducted and documentation accurately reflects the current status of changes and outstanding issues so that business requirements reflect application features and functions.
  • Identifies training and development requirements of user groups and provide support when required by designing and developing training initiatives.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or related field and 13 years of relevant experience, or Master’s degree in Computer Science, Engineering, or related field and 12 years of relevant experience, or In lieu of education, 17 years of relevant experience.
  • Proven experience designing and deploying infrastructure for AI/ML applications in client or enterprise environments.
  • Hands-on expertise with cloud platforms, particularly AWS and/or Azure, including services such as compute, storage, networking, and managed ML services.
  • Experience setting up and managing enterprise-grade application infrastructure including containerization (Docker, Kubernetes) and CI/CD pipelines.
  • Strong understanding of MLOps practices, including model deployment, monitoring, and scaling.
  • Ability to assess client infrastructure needs and translate them into scalable, secure, and cost-effective AI solutions.
  • Experience working with data pipelines, API integrations, and AI/ML frameworks.
  • Able to work independently with minimal supervision as well as collaboratively across cross-functional teams.
  • Strong communication skills — able to present complex technical concepts clearly to both technical and non-technical stakeholders.
  • Detail oriented, proactive, and solutions-focused mindset.
Benefits
  • Health insurance
  • 401(k) matching
  • Flexible work hours
  • Paid time off
  • Professional development opportunities
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data managementsoftware developmentdatabase integrationinfrastructure designAI/ML applicationscloud servicescontainerizationMLOps practicesAPI integrationsCI/CD pipelines
Soft Skills
communication skillsproject managementproblem-solvingcollaborationcustomer traininganalytical skillsleadershipdetail-orientedproactive mindsetsolutions-focused