AWS Sales Engineer - Data & AI
Role details
Job location
Tech stack
Job description
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., Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
Requirements
- 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 years work experience)
Professional Skills Requirements:
- Proven ownership and scaling of multi-client, revenue-generating cloud or AI offerings.
- Strong commercial and go-to-market acumen, including experience supporting sales enablement, deal shaping, and pipeline development.
Benefits & conditions
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.We anticipate this job posting will be posted until 06/30/2026Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:
U.S. Employee Benefits | Accenture (https://www.accenture.com/us-en/careers/local/benefits)
Role Location Annual Salary RangeCalifornia $163,000 to $369,800Cleveland $150,900 to $295,800Colorado $163,000 to $319,500District of Columbia $173,500 to $340,200Illinois $150,900 to $319,500Maryland $163,000 to $319,500Massachusetts $163,000 to $340,200Minnesota $163,000 to $319,500New York $150,900 to $369,800New Jersey $173,500 to $369,800Washington $173,500 to $340,200