AI Agent Architect

Ranked among the largest accounting and consulting firms in the country and consistently recognized as a Great Place to Work (), Cherry Bekaert delivers innovative advisory, assurance and tax services to our clients. We are proud to foster a collaborative environment focused on enabling your career growth and continuous professional development. Our Business Transformation is looking for an AI Agent Manager.

The AI Agent Manager will have the opportunity to work remotely from within the United States.

We are seeking a highly skilled and motivated AI Agent Architect (Manager Level) to join our team. The ideal candidate will have a strong background in artificial intelligence, agent-based systems, and digital transformation, with a proven track record of designing and deploying scalable AI solutions. As an AI Agent Architect, you will be responsible for architecting, implementing, and optimizing AI agent frameworks that drive business transformation and operational excellence at Cherry Bekaert.

This role supports organizational change by solving complex business challenges through intelligent automation, agent orchestration, and advanced analytics. You must be flexible, collaborative, and open to adopting new ideas and technologies to resolve multifaceted business problems.

A successful fit for this role is a proactive problem-solver with strong project management and technical leadership skills, ready to take on diverse tasks, thrive in a fast-paced team environment, and communicate, influence, and persuade both business leaders and peers. This role will report to the Chief Transformation Officer and sits within the Firm’s internal Business Transformation Office.

• Collaborate with stakeholders across the firm to understand operational and business structures, ensuring alignment with business objectives and AI-driven transformation initiatives.

• Architect and implement AI agent solutions that align with the firm’s strategic goals, including intelligent automation, conversational agents, and decision-support systems.

• Lead and execute AI agent projects from inception to completion, ensuring timely delivery and quality outcomes.

• Develop and implement change management strategies to drive adoption of AI technologies across the business.

• Engineer and manage context for agents to ensure they access the right information at the right time. This includes applying methods such as:

• Prompt Engineering – injecting information directly into prompts.

• Fine-tuning – training models on additional data to embed knowledge (where applicable).

• Retrieval-Augmented Generation (RAG) – embedding documents into vector databases and retrieving semantically relevant information.

• Tool Use – leveraging sub-agents or deterministic models to locate and add relevant context.

• Hybrid Approaches – combining two or more methods to maximize reliability and relevance.

• Drive continuous improvement and innovation in AI agent frameworks to enable greater speed, productivity, and efficiency throughout the organization.

• Identify, develop, maintain, and communicate measures or KPIs to report progress of AI initiatives and demonstrate impact on business outcomes.

• Enhance system capabilities by integrating AI agents to improve associate productivity and customer experience.

• Stay up-to-date with industry developments and advancements in AI, machine learning, and agent-based technologies.

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field;
  Master’s degree preferred.

• Proven experience in AI architecture, agent-based systems, or intelligent automation, with a minimum of 5 years in a similar role.

• Experience with the professional services industry is a plus.

• Strong understanding of AI technologies, frameworks, and their application in business contexts.

• Excellent project management skills, with the ability to manage multiple AI projects simultaneously.

• Exceptional communication and interpersonal skills, with the ability to build strong relationships with business and technical stakeholders.

• Analytical mindset with the ability to solve complex problems and make data-driven…