The opportunity
The Applied AI Engineering (AAE) team is responsible for helping developers and enterprises turn the potential of generative AI into real-world impact. We act as trusted advisors and technical partners to customers and ecosystem partners, helping identify high-impact AI use…
What you'll do
Lead, mentor, and grow a team of Applied AI Engineers supporting strategic: AWS partner engagements and customer deployments.
Define the operating model, engagement strategy, and technical priorities for the AWS Partner AAE pod.
Partner closely with AWS partner leadership, solution architects, delivery: organizations, and customer stakeholders to identify high-impact AI opportunities and accelerate production adoption of OpenAI technologies.
Guide teams through complex generative AI and traditional ML implementations,: including use case shaping, architecture reviews, implementation planning, security considerations, evaluation strategies, and operational readiness.
Serve as a senior technical escalation point for critical partner and: customer engagements, helping teams navigate ambiguity, make sound technical decisions, and drive successful outcomes.
Collaborate with Product, Research, and Engineering teams to synthesize: partner and customer feedback into platform improvements, tooling enhancements, and applied AI best practices.
What they're looking for
- Develop scalable enablement frameworks, reference architectures, and: repeatable implementation patterns that improve partner effectiveness and reduce time-to-production.
- Drive operational excellence across the team, including resource planning,: prioritization, hiring, onboarding, performance management, and career development.
- Act as an external thought leader on applied AI, cloud-native AI: architectures, and responsible AI adoption within the AWS ecosystem.
- Have 8+ years of experience in technical customer-facing roles, including: managing executive-level technical and business relationships with enterprise organizations and strategic partners.
