The role involves leading the design and delivery of enterprise-scale artificial intelligence and generative AI solutions to address complex business problems. The individual will act as a client-facing solution lead, translating business requirements into scalable architectures across data, models, and platforms. Technical leadership responsibilities include overseeing generative AI use cases such as retrieval-augmented generation, agentic workflows, model orchestration, and platform integration. The position requires partnering with stakeholders, architects, and engineering teams to ensure that solutions are secure, high-performing, and production-ready. Additionally, the lead will be responsible for creating and implementing executive-level roadmaps and dashboards to demonstrate business impact and risk posture.

The role requires at least four years of experience in artificial intelligence or a combination of equivalent training, education, or military experience. Candidates must possess three years of experience in product or solution management, program delivery, or technical product ownership for AI/ML platforms. Additionally, three years of hands-on experience with cloud technologies and container orchestration is necessary. Strong communication, negotiation, and stakeholder engagement skills are required to influence senior leadership and manage cross-functional teams.