Strategic AI/ML Delivery Architect — Sports

Amazon Web Services (AWS)

Denver (CO)

On-site

USD 183,000 - 247,000

Full time

14 days+

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Job summary

Amazon Web Services, Inc. is seeking a Principal Delivery Consultant for Emerging Technologies in Sports.

You will own the full engagement lifecycle from discovery to production deployment, shaping technical strategy for sports clients and leading the adoption of AI/ML, generative AI, and data-driven architectures at scale. You will mentor teams, drive best practices, and partner with AWS service teams to incubate new capabilities.

Qualifications

8+ years of cloud architecture and solution implementation experience.
Bachelor's degree in Computer Science, Math, or a related field.
Experience in the Sports including familiarity with broadcast/OTT content delivery workflows or venue operations.
Experience building and deploying production AI/ML solutions, including ML training/inference pipelines, data platform architectures, or media processing workflows.
Experience delivering generative AI solutions to production, including RAG architectures, prompt engineering, foundation model integration, or agentic workflow orchestration.

Responsibilities

Owning the full engagement lifecycle for Sports customers: leading discovery sessions, defining target-state architectures, building proof-of-concept solutions, designing and implementing production-grade cloud solutions, and ensuring adherence to Well-Architected best practices.
Building and deploying AI/ML solutions including ML training and inference pipelines, RAG architectures with prompt engineering, agentic workflow orchestration, and media processing workflows for industry use cases such as fan engagement, venue operations, content workflows, and media production.
Designing and implementing data platform solutions using lakehouse and medallion architectures, streaming pipelines, and open table formats to support analytics and AI workloads for sports and media customers.
Building reusable architectural artifacts, developing new design patterns by identifying trends across the vertical, and partnering with AWS Service teams on roadmap priorities.
Mentoring team members, leading knowledge-sharing initiatives, and contributing to the practice's emerging technology roadmap to grow organizational capabilities.