AI Agent Architect
Country
United States
Location type
Remote
About the Role
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.
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.
Responsibilities
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.
Requirements
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.
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 decisions.
Demonstrated understanding of data quality, integrity, and systems integration.
Experience with in-person and virtual group facilitation and change management techniques.
Nice to Have
Experience with the professional services industry is a plus.
What We Offer
Annual bonus
Medical, dental, and vision care
Disability and life insurance
Generous Paid Time Off
Retirement plans
Paid Care Leave
