Principal Delivery Consultant, Emerging Technologies – Sports Industry

AI in this role

bedrocksagemakerdatabricks

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Application deadline: Oct 6, 2026

The AWS Professional Services (ProServe) team is seeking a Principal Delivery Consultant, Emerging Technologies — Sports. In this role, you will serve as a strategic technical leader recognized broadly, both within AWS and across the industry, for your domain-leading expertise. Your work will be primarily strategic: you will amplify impact by shaping outcomes with senior leaders, influencing technology and business strategies across the vertical, and creating scalable mechanisms that define best practices at scale.

You will own the full engagement lifecycle — from leading discovery sessions and defining target-state architectures through designing, building, and deploying production solutions for Sports customers. Your day-to-day work will center on building ML training and inference pipelines, implementing RAG architectures and prompt engineering, orchestrating agentic workflows, and configuring media processing workflows. You will partner with AWS Service teams to drive roadmap prioritization and incubate new capabilities across professional leagues, collegiate athletics, streaming platforms, studios, and live event venues.

Drawing on familiarity with broadcast and OTT content delivery workflows, venue IoT and edge computing, and fan engagement platforms, you will guide stakeholders through emerging technologies — including generative AI, agentic AI, computer vision, and modern data platforms. You will identify patterns across customers, develop new architectural principles, and create reusable intellectual property that drives innovation at scale, while managing up to four concurrent engagements.

The AWS Professional Services organization is a global team of experts that helps customers realize their desired business outcomes on the AWS Cloud. Working alongside customer teams and the AWS Partner Network (APN), we deliver focused guidance through specialty practices spanning a variety of solutions, technologies, and industries.

Key job responsibilities
As an experienced technology professional, you will be responsible for:

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

A day in the life
Your morning begins whiteboarding an Agentic AI architecture with an NFL franchise to transform fan engagement. Mid-morning, you review a generative AI proof-of-concept for a studio's content workflow against Well-Architected best practices.

At lunch, you mentor teammates on computer vision for venue operations. Afternoon shifts to presenting a business case to C-level executives at an MLS club, securing a funded engagement.

Late afternoon, you collaborate with AWS Service teams on roadmap priorities, then finalize a reusable reference architecture for the vertical. You close the day reviewing portfolio metrics and drafting strategic recommendations for senior leadership.

About the team
The Emerging Technology Team within AWS ProServe NAMER serves as the nucleus of customer cloud transformation, orchestrating the adoption and scaling of technologies across enterprise and government organizations. The team consists of consultants with deep expertise spanning AI/ML, generative AI, data analytics, IoT, computer vision, robotics, quantum computing, and more.

Their mission centers on transformation consulting, emerging tech-led adoption expertise, and deep industry context. Leveraging Emerging Tech Adoption Framework (ETAF), they help customers envision, prototype, and scale emerging technologies using a risk-aware, portfolio-based investment approach accelerating business outcomes while developing the next generation of AI solutions.

Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.

Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating. That's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture: Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empowers us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth: We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship, and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance: We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.

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Basic 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

Preferred qualifications

- AWS Professional-level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional)
- Experience with AWS AI/ML and media services such as Amazon Bedrock, Amazon SageMaker, AgentCore, AWS Elemental MediaLive, MediaConvert, IVS, and Amazon Personalize
- Experience designing data platforms using lakehouse or medallion architectures, open table formats (e.g., Apache Iceberg), and streaming technologies (e.g., Kinesis, Kafka)
- Knowledge of league data systems and governance frameworks, player/biometric data handling, content licensing, and privacy regulations relevant to sports and media
- Experience with infrastructure-as-code tools (e.g., CDK, CloudFormation, Terraform) and CI/CD pipelines
- Familiarity with third-party data platforms commonly deployed on cloud infrastructure (e.g., Snowflake, Databricks)
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, CA, East Palo Alto - 210,200.00 - 284,300.00 USD annually
USA, CA, Santa Monica - 182,800.00 - 247,300.00 USD annually
USA, CO, Denver - 182,800.00 - 247,300.00 USD annually
USA, GA, Atlanta - 182,800.00 - 247,300.00 USD annually
USA, NJ, Jersey City - 201,000.00 - 272,000.00 USD annually
USA, NY, New York - 201,000.00 - 272,000.00 USD annually
USA, TX, Dallas - 182,800.00 - 247,300.00 USD annually
USA, VA, Arlington - 182,800.00 - 247,300.00 USD annually
USA, WA, Seattle - 182,800.00 - 247,300.00 USD annually

How we rate this

Principal Delivery Consultant, Emerging Technologies – Sports Industry at Amazon rates 67 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Prompt EngineeringRAGAI AgentsComputer VisionBedrockSagemakerDatabricks

Questions you could be asked

How do you structure and test a prompt to get consistent output from a language model?
How would you design a retrieval step so the model answers from real data instead of guessing?
How do you decide when an AI agent can act on its own versus asking for approval first?
Walk me through a computer vision problem you solved, from raw data to a deployed model.
Walk me through how you've used Bedrock in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Prompt Engineering, RAG, AI Agents, Computer Vision, and Bedrock. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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