10 Years in Software Delivery with 3 Years leading AI GenAI Data Science or AIdriven Digital Transformation initiatives
Role Summary
We are seeking a highly motivated Technical Project Manager to lead the delivery of nextgeneration AInative products and platforms The ideal candidate will drive endtoend execution of AI programs involving Generative AI Agentic AI LLMbased applications AI Agents RAG solutions cloudnative platforms and modern engineering practices
This role requires a blend of technical depth delivery leadership stakeholder management Agile execution and AI transformation expertise The TPM will work closely with Product Owners AI Architects Data Scientists ML Engineers MLOps teams and business stakeholders to deliver scalable secure and responsible AI solutions
Key Responsibilities
Program Delivery Leadership
Own endtoend delivery of AInative products from ideation through production deployment
Develop project plans roadmaps release schedules budgets and resource plans
Drive Agile execution across multiple crossfunctional teams
Manage scope risks dependencies and program governance
Establish delivery metrics and executive reporting mechanisms
AI Project Management
Lead projects involving oGenerative AI oAgentic AI oMultiAgent Systems oRAG Architectures oAI Copilots oAIpowered Automation Solutions oPredictive Analytics Machine Learning
Coordinate AI model lifecycle activities including development evaluation deployment monitoring and retraining
Ensure alignment between business objectives and AI solution outcomes
Technical Leadership
Collaborate with Solution Architects and Engineering Leads on oAI architecture decisions oCloud deployment strategies oIntegration patterns oScalability and performance requirements
Drive engineering best practices including CICD DevSecOps MLOps and observability
Stakeholder Management
Engage with executive sponsors product leaders and client stakeholders
Facilitate steering committee reviews and governance forums
Translate technical concepts into business outcomes and value realization
AI Governance Responsible AI
Ensure adherence to Responsible AI principles
Drive compliance with security privacy data governance and regulatory requirements
Establish AI adoption change management and business readiness frameworks
Innovation AI Adoption
Promote AIassisted SDLC practices
Drive adoption of modern AI engineering tools and platforms
Identify opportunities for productivity improvements through AI