PCG Consulting Group International

Technical Project Manager – AI Services

PCG Consulting Group International

full-time

Posted on:

Origin:  • 🇺🇸 United States

Visit company website
✨ AI Apply
Manual Apply

Job Level

Mid-LevelSenior

Tech Stack

AWSAzureCloudJavaScriptPMP

About the role

  • Lead cross-functional AI projects involving machine learning, data engineering, infrastructure, and AI product integration
  • Translate AI solution strategies into project roadmaps, execution plans, and delivery milestones
  • Work closely with teams including AI/ML engineers, data scientists, software engineers, product managers, and external partners
  • Manage the development and deployment lifecycle of AI services, from experimentation to production rollout
  • Ensure responsible and ethical use of AI, including considerations for bias, transparency, and compliance
  • Facilitate Agile processes (scrum, sprint planning, standups) to support effective and timely execution
  • Track technical progress, risks, and dependencies across AI-related workstreams
  • Develop and maintain clear project documentation, dashboards, and executive reporting
  • Stay abreast of emerging AI tools, platforms, and industry trends to inform project strategy and technical planning

Requirements

  • 3–5+ years of experience in technical project management, with demonstrated leadership on software or AI projects
  • Strong understanding of AI/ML fundamentals, workflows, and delivery processes
  • Experience managing projects involving AI services (e.g., LLMs, computer vision, NLP, model serving, inference APIs)
  • Familiarity with cloud-based AI infrastructure (e.g., AWS SageMaker, Azure ML, Google Vertex AI)
  • Strong organizational, analytical, and communication skills, with the ability to work across highly technical teams
  • Experience working in Agile/Scrum environments using tools like Jira, Confluence, or similar
  • Ability to balance technical depth with project delivery and stakeholder communication
  • Degree in Computer Science, Engineering, Data Science, or a related technical field (preferred)
  • Experience with AI product lifecycle management, including model evaluation, monitoring, and MLOps (preferred)
  • Knowledge of data privacy, security, and ethical frameworks in AI development (preferred)
  • Certifications in AI, data science, or project management (e.g., PMP, PMI-ACP, CSM) (preferred)