Project Manager

• Own end-to-end delivery of AI initiatives: define scope, success metrics, milestones, and acceptance criteria
• Create and maintain AI roadmaps and backlogs; run sprint planning, reviews, and cross-team coordination
• Translate business needs into technical requirements and interface specifications for APIs, services, and integrations
• Lead technical discovery and solution design for LLM, RAG, Vision, and generative use cases
• Plan resources and budgets; sequence work, manage dependencies, and remove delivery blockers
• Establish delivery quality: code review gates, CI/CD, monitoring, and post-launch KPIs
• Oversee on-prem and cloud deployments, including security, data governance, and cost controls
• Communicate status and risks clearly to stakeholders; produce concise docs and demos for decision-making
• Drive knowledge transfer and enablement for developers and non-technical users of AI tools
• Track model and platform changes and assess impact on existing solutions; manage upgrades and deprecations

AI Project Manager – Full-time

Intern, Inhouse Consulting & Project Management

Project Manager, Passive Network