
Technical Program Manager – GenAI
Posted 21 hours ago

Posted 21 hours ago
This is a fully remote position, open to applicants in United States.
• Oversee large-scale, intricate AI initiatives from their initial stages through to production deployment.
• Lead cross-functional teams comprising Data Scientists, ML Engineers, Data Engineers, and Product Managers.
• Collaborate with architects and technical leads to develop robust, production-ready architectures for RAG pipelines and multi-agent AI ecosystems.
• Enhance collaboration across various workstreams, acting as a pivotal point of coordination for team leads and stakeholders.
• Identify and manage risks, dependencies, and technical hurdles to guarantee project success.
• Ensure effective communication with client stakeholders, offering insights into delivery progress, dependencies, obstacles, and critical decisions.
• Drive strategic initiatives that promote enterprise-wide AI adoption, cloud-native data modernization, and measurable business results.
• Work alongside AI, data, engineering, and consulting professionals across different regions to deliver transformative solutions and strengthen strategic client partnerships.
• A minimum of 10 years of overall experience, showcasing a proven history as a Technical Program Manager in delivering large-scale, enterprise software systems.
• Proven experience in building, scaling, or implementing Generative AI technologies, particularly RAG Systems and Agentic AI Frameworks (LangChain, LangGraph).
• Ability to convey complex technical updates into clear, concise, and business-oriented communication for senior leadership and clients.
• Excellent stakeholder management and collaboration capabilities, with the capacity to influence decisions across teams and leadership levels.
• Strong written and verbal communication skills, enabling effective communication of program updates and delivery progress to senior stakeholders and clients.
• PMP, Scrum Master, or SAFe Certifications.
• Experience in the Supply Chain / Procurement field.
• Experience in managing large-scale programs with globally distributed teams.
• Medical insurance
• Dental insurance
• Vision insurance
• Retirement accounts
• Long-term disability insurance
• Short-term disability insurance
• Life insurance
• HSA/FSA accounts (USA)
• Discretionary time off
• Continuous learning and AI upskilling opportunities
• Hands-on exposure to emerging technologies
• Opportunities to build expertise in Generative AI, agentic AI, and next-generation data platforms
• Equal employment opportunities
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