AI Strategist

atMarvikRemoteUY flagUruguayFull-timeArtificial IntelligenceMid-levelSenior

Posted Sep 2

This is a fully remote position, open to applicants in Uruguay.

πŸ“‹ Description

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.


⛳️ Requirements

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.


🏝️ Benefits

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.

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