Senior Solutions Consultant, AI

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Requirements:

• Deep industry knowledge and at least 4+ years of experience in audit and advisory services at a public accounting firm are a must.
• Deep understanding of AI technologies, including machine learning, natural language processing, and automation and at least 4+ years of experience with AI vertical SaaS solutions.
• Proven experience in consulting, project management, or a related field, with a focus on technology-driven solutions.
• Strong analytical and problem-solving skills, with the ability to translate complex client requirements into practical AI solutions.
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with clients and internal teams.
• Demonstrated ability to manage multiple projects simultaneously and drive them to successful completion.
• Experience in developing and delivering training sessions or workshops is a plus.
• Familiarity with Agile methodologies and project management tools is desirable.
• Bachelor's degree in Computer Science, Engineering, Business, Accounting, or a related field. Master's degree preferred.

Responsibilities:

• Engage with clients to comprehend their existing workflows, challenges, and objectives.
• Cultivate a deep understanding of their audit processes and pain points.
• Identify opportunities where Fieldguide’s AI capabilities can be implemented to enhance the quality, accuracy, and efficiency of audit workflows.
• Propose and demo AI solutions to address specific practitioner needs in support of CS expansion opportunities.
• Develop and engineer AI-driven prompts aimed at streamlining practitioner workflows.
• Collaborate with clients to review and fine-tune AI Actions, ensuring alignment with their requirements and expectations.
• Gather feedback and iterate on AI Actions as needed to enhance performance and usability.
• Lead the coordination of training sessions for clients to familiarize them with AI actions and their functionalities.
• Oversee the seamless rollout of AI solutions within client organizations, ensuring smooth implementation and adoption.
• Establish metrics and KPIs to measure the impact and effectiveness of AI actions on client workflows.
• Monitor and analyze performance data to assess the success of AI implementations and identify areas for improvement.
• Develop and document standardized processes and best practices for AI solution deployment and client engagement.
• Create a repository of reusable resources and methodologies that can be leveraged by future AI Solutions teams.