Vice President, Head of Agent Product Management, AIA

ROLE SUMMARY

The Head of Agent Product Management reports to the Head of AIA Strategy & Operations. This role is responsible for leading the strategy, architecture, and delivery governance for agent development within the AIA function. The position shapes how AI agents are designed, built, and scaled, with the goal of enabling next-generation commercial capabilities across the organization.

ROLE RESPONSIBILITIES

Strategy & Architecture

• Define the overall strategy and governance model for agent development, including frameworks, orchestration standards, evaluation protocols, and lifecycle management

• Make key architectural decisions on orchestration frameworks (e.g., LangGraph, AutoGen), agent registries, and integration patterns, ensuring scalability and alignment with AI Acceleration priorities

• Partner closely with Digital & Technology, engineering and products teams to maintain consistent architecture, shared infrastructure, and unified development standards

Build & Ship (Governance Level)

• Oversee the design and rollout of core agent infrastructure, including evaluation systems, logging and observability platforms, and prompt repositories, in collaboration with cross-functional teams

• Establish disciplined CI/CD and release management processes for agents, with clear versioning, rollback, and deployment controls

• Ensure agent solutions integrate effectively with enterprise data systems, APIs, and security layers, aligned with information security and compliance standards

Quality & Evaluation

• Define quality bars for agent performance, reliability, interpretability, latency, and safety, ensuring consistent evaluation across use cases

• Implement automated testing and regression frameworks to maintain agent quality and compliance over time

• Drive transparent reporting and performance reviews to demonstrate business impact and adherence to responsible AI principles

Team & Culture

• Build and lead a high-performing agent engineering function, fostering technical excellence, collaboration, and a culture of reusable blueprints and rapid iteration

• Set strong technical direction, review design and architectural decisions, and mentor senior developers and leads to raise the overall engineering bar

• Promote continuous learning and experimentation to keep the team current on advances in agentic AI and orchestration technologies

Cross-Functional Impact

• Collaborate with data, product, and business teams to identify and scale high-value agent opportunities across commercial domains

• Maintain close feedback loops between users and development teams to shape roadmaps based on adoption, performance, and impact

• Communicate technical decisions and trade-offs clearly to senior stakeholders, connecting architectural choices to business outcomes

BASIC QUALIFICATIONS

• 15+ years’ experience in tech and/or analytics with a BA/BS

• Prior experience leading large, matrixed global teams

• Experience developing agentic AI systems, including orchestration, tool integration, and autonomous workflows using frameworks like LangChain, Semantic Kernel, AutoGen, Strands, CrewAI, and LangGraph.

• Experience designing and implementing multi-agent systems, including task delegation, coordination, and autonomous decision-making

• Certifications: Azure AI Engineer Associate, Azure Solutions Architect Expert; AWS Certified Machine Learning – Specialty, AWS Certified Solutions Architect – Professional; Professional Machine Learning Engineer, Professional Cloud Architect

• Hands-on experience with LLMs, including prompt engineering, fine-tuning, and Retrieval-Augmented Generation (RAG) architecture

• Expertise in MLOps / AIOps, covering monitoring, governance, lifecycle management, CI/CD pipelines, and cloud-native application development

• Proficiency in API design, microservices architecture, and event-driven system development

• Experience collaborating with offshore teams and distributed setups

PREFERRED QUALIFICATIONS
• Master’s degree
• Prior experience applying AI solutions in regulated industries (e.g., healthcare, finance, life sciences)

Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact.

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