AWS Sales Engineer - Data & AI
$234.1kAccenture
We Are: Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 790,000 people serving clients in more than 120 countries. A leading partner to the world’s major cloud providers, including AWS, Azure, and Google and Private Cloud leaders like IBM, Dell, HPE, RedHat. The formation of Accenture Cloud First, with a $3 billion investment over three years, demonstrates our commitment to deliver greater value to our clients when they need it most and offers huge growth opportunities for you! Our Cloud First group of more than 150,000 cloud professionals delivers a full stack of integrated cloud capabilities across data, edge, integrated infrastructure and applications, deep ecosystem skills, culture of change along with a deep industry expertise to shape, move, build and operate our clients’ businesses in the cloud. To accelerate our customers transformation leveraging omni cloud, we combine world-class learning and talent development expertise; deep experience in cloud change management; and cloud-ready operating models with a commitment to responsible business by design — with security, data privacy, responsible use of artificial intelligence, sustainability and ethics and compliance built into the fundamental changes Accenture helps companies achieve. The Work: You’ll own the end-to-end definition, build, and scaling of reusable, revenue-generating cloud and AI offerings. You’ll be responsible for aligning platform capabilities, industry priorities, and commercialization strategy to drive measurable business impact and scalable IP. Core Responsibilities: Offering Strategy & Portfolio Ownership: Define 12–24 month roadmap aligned to Cloud First priorities. Identify repeatable, scalable solution patterns. Define monetization model (accelerator, managed service, AI-as-a-Service). Technical Architecture & Differentiation Establish reference architectures and solution blueprints. Ensure production-grade design and Responsible AI alignment. Avoid duplication across Data & AI and Cloud teams. Go-to-Market & Commercialization Package offerings for sales activation (playbooks, pricing, demos). Partner with Business Groups to drive pipeline. Track revenue contribution and adoption metrics. Hyperscaler & Ecosystem Alignment Act as primary interface with respective Business Group. Drive joint co-innovation and co-investment motions. Governance & Scale Establish KPIs (revenue, reuse, deployments). Ensure security, compliance, and Responsible AI adherence. Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements. Here’s What You Need: Minimum 12 years of experience leading cloud and Data & AI solutions, including ownership of reusable, multi-client offerings spanning solution definition, architecture, and go-to-market execution. Minimum 5 years of experience with AWS, including a combination of hands-on solution architecture and pre-sales or offering solutioning experience across Data & AI services
- e.g., SageMaker, Bedrock, Redshift, Glue, EKS). Bachelor's degree or equivalent
- minimum 12 years) work experience. (If Associate Degree, must have minimum 6
- 132,500 to $271,000 Cleveland $122,700 to $216,800 Colorado $132,500 to
- 234,100 District of Columbia $141,100 to $249,300 Illinois $122,700 to $234,100
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