Associate Director, AI Foundations Engineering (3 Openings)

Lead the architecture, design, and engineering delivery of the organization's agentic AI platform and related solutions.

Drive the transformation of existing products, processes, and workflows into scalable agentic AI-enabled capabilities.

Oversee end-to-end AI engineering operations, including development, deployment, monitoring, reliability, and continuous improvement.

Partner with cross-functional stakeholders to define technical roadmaps, platform standards, and solution priorities aligned to business goals.

Establish engineering best practices for AI system performance, scalability, security, governance, and maintainability.

Guide the evaluation, integration, and optimization of AI models, orchestration frameworks, and supporting platform components.

Build, mentor, and lead high-performing engineering teams while fostering innovation, accountability, and technical excellence.

Identify opportunities to accelerate value delivery through reusable AI services, automation, and operational efficiencies.

Bachelor’s degree required and advanced degree preferred, ideally in computer science, engineering, information systems, or a related technical field.

5 plus years of experience in technology leadership, solution architecture, software engineering, or prototype development, with a strong track record of building and advancing proofs of concept for digital, data driven, or AI enabled solutions.

Demonstrated experience translating early-stage concepts into functional prototypes or PoCs, including evaluating technical feasibility, defining solution approaches, and working through ambiguty to validate ideas quickly and effectively.

Strong technical knowledge across modern application development, cloud platforms, data, and AI technologies, with the ability to partner closely with Product, Innovation, Engineering, and Data Science teams to bring concepts to life.