Principal Delivery Consultant, Emerging Technologies

Location: Dallas, TX, USA, with additional listed locations in Jersey City, NJ; Seattle, WA; Arlington, VA; Atlanta, GA; New York, NY; Santa Monica, CA; Denver, CO; and East Palo Alto, CA

Responsibilities: Own the full engagement lifecycle for Sports, Media, and Entertainment customers, from discovery and target-state architecture through production deployment. Lead discovery sessions and define target-state architectures for customer technology initiatives. Build proof-of-concept and production-grade cloud solutions following AWS Well-Architected best practices. Build and deploy AI/ML solutions, including training and inference pipelines; Design and implement Retrieval-Augmented Generation (RAG) architectures, prompt engineering solutions, and agentic AI workflows. Configure media processing workflows for applications such as fan engagement, venue operations, content workflows, and media production. Design data platforms using lakehouse and medallion architectures, streaming pipelines, and open table formats. Develop reusable architectural artifacts and identify technology patterns across customers and the broader industry. Partner with AWS Service teams to influence roadmap priorities and develop emerging capabilities. Mentor team members and lead knowledge-sharing initiatives; Contribute to the Emerging Technology practice roadmap and organizational capability development. Work with professional leagues, collegiate athletics organizations, streaming platforms, studios, and live event venues. Guide customers through emerging technologies including generative AI, agentic AI, computer vision, and modern data platforms. Manage up to four concurrent customer engagements.

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

Benefits and Compensation: Base salary listed for Dallas, TX: $182,800 to $247,300 per year. Sign-on payments and restricted stock units (RSUs) may be included in the compensation package. Health insurance including medical, dental, vision, and prescription coverage. Basic Life and AD&D insurance, with supplemental life insurance options. Employee Assistance Program and mental health support; Medical Advice Line and Flexible Spending Accounts. Adoption and surrogacy reimbursement coverage.401(k) matching. Paid time off. Parental leave. Mentorship, training, and career development resources. Employee-led affinity groups and learning opportunities.