Technical Project Manager
dentsu Austria
PMP
Technical Project Manager – AI Services
PCG Consulting Group International
full-time
Posted on:
Location: 🇺🇸 United States
Visit company websiteJob 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)
