
AI Strategist
Posted Sep 2

Posted Sep 2
This is a fully remote position, open to applicants in Uruguay.
β’ Manage the Agent Development Life Cycle from the initial scope through conversation design, tooling, evaluation, launch, and ongoing production iteration.
β’ Convert business objectives into agents that exceed expectations and optimize them for actual performance.
β’ Serve as a trusted strategic consultant to enterprise leaders, shaping AI strategies that align with business success.
β’ Collaborate directly with customer executives and their working teams.
β’ Facilitate working sessions, troubleshoot agents, and make decisions to ensure builds remain on schedule for launch.
β’ Identify unmet customer needs and relay them to research and platform teams to influence product direction.
β’ Develop production-quality Agentic AI and LLM systems capable of reasoning, tool interaction, and solving intricate real-world challenges.
β’ Transition AI systems from early prototypes to dependable, scalable solutions utilized across finance, healthcare, commerce, and telecommunications.
β’ Enthusiasm for engaging with customers, understanding their business and needs, excelling in complex organizations, and fostering trusted relationships.
β’ Ability to communicate clearly, directly, and persuasively with both technical and non-technical audiences.
β’ Strong analytical and critical-thinking abilities to deconstruct complex issues, identify risks early, and adapt swiftly as situations evolve.
β’ Comfort in directly engaging with technical concepts, including reading API documentation, grasping data models and system architecture, and navigating engineering trade-offs in design discussions.
β’ Proven experience managing multiple complex, high-profile projects simultaneously and driving them to successful outcomes.
β’ Genuine interest in Financial Services and enhancing the end customer experience.
β’ Background in financial technology, implementations at financial institutions, experience within financial institutions, or familiarity with financial services security and compliance requirements is advantageous.
β’ Experience in building or deploying AI/LLM agents in production, including evaluation frameworks, agent tooling, RAG, and prompt engineering is highly desirable.
β’ Experience as a founder, founding team member, or operator is a significant plus.
β’ Degree in Computer Science, Engineering, Mathematics, or a related technical field, or equivalent practical experience, as well as an MBA or comparable experience at the intersection of technology and business is a strong advantage.
β’ Engaging, real-world projects.
β’ Access to a cutting-edge tech stack.
β’ Opportunities for strategic growth with potential for long-term ownership, leadership, and professional development.
β’ Excellent work environment with highly motivated, collaborative, and skilled professionals.
β’ Chance to travel internationally to work directly with clients.
β’ Flexibility to work remotely with global, high-impact clients.
The College Board
Mercor
Mercor
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