AWS (AABG) Mid-Market Technical Architect
Role details
Job location
Tech stack
Job description
- Design and develop reusable Enterprise Cloud Architecture, Data & AI solution assets - including reference architectures, accelerators, frameworks, and proof-of-concept templates - that enable delivery teams to demonstrate value quickly and shorten time-to-value for client engagements.
- Serve as the primary subject matter expert on Mid-Market AWS Business Group (AABG) solutions during sales pursuits, participating in client-facing presentations, orals, solution workshops, and RFP/RFI responses to articulate Accenture's technical vision and differentiated capabilities.
- Provide hands-on technical leadership during project delivery, guiding solution design, validating architectural decisions, and advising delivery teams on best practices for data platforms, analytics, machine learning, and generative AI implementations.
- Conduct independent quality assessments and architecture reviews of in-flight projects to evaluate solution soundness, adherence to enterprise standards, risk posture, and alignment with client business objectives - providing actionable recommendations for remediation.
- Author technical whitepapers, solution briefs, and case studies that position Accenture's Cloud Architecture and Data & AI capabilities in the marketplace and support business development efforts.
- Build and maintain strategic relationships with key technology partners (including architecture, data platform vendors and AI/ML tooling providers) to ensure proposed solutions leverage the latest platform capabilities and partnership incentives.
- Mentor and upskill delivery architects and technical staff on emerging Enterprise Cloud, Data & AI trends, patterns, and technologies - raising the overall technical acumen of the practice.
- Establish and evangelize architecture standards, design patterns, and governance frameworks for Data & AI solutions that ensure consistency, scalability, and quality across engagements.
- Monitor industry trends, emerging technologies, and competitive landscape in Data & AI to inform Accenture's investment priorities, point-of-view development, and strategic positioning.
- Support pursuit teams in estimating level of effort, defining delivery approaches, and shaping statements of work for Cloud Architecture, and Data & AI engagements - ensuring technical feasibility and realistic scoping.
- Champion innovation by identifying opportunities to embed AI and advanced analytics into client solutions, driving measurable business outcomes and reinforcing Accenture's reputation as a market leader in Enterprise Cloud Architecture and Data & AI.
Requirements
- Minimum 7 years hands-on keyboard AWS experience, with deeper capabilities and interests in specific services. Including in-depth knowledge and technical expertise of cloud, enterprise networking, with depth in AWS specific services and technology
- Must have hands-on AWS experience with at least 1 implementation and/or Migration into AWS (preferred in an Enterprise scale environment)
- Minimum of 4 years proven Scripting capability and the ability to develop AWS EAC (environments as code)
- Minimum 1 year of experience with Automation/IAC (infrastructure As Code) Solutions- CloudFormation, Terraform, Ansible, Puppet, Jenkins, etc.
- Minimum required AWS certification must include AWS Certified Solution Architect (Associate or Professional)
- Bachelor's degree or equivalent (minimum 12 years) work experience. If Associate's Degree, must have minimum 6 years work experience
- Minimum 1 year of experience with core AWS platform architecture, including areas such as:
- § Organizations, Account Design, VPC, Subnet, segmentation strategies
- § CloudEndure, MGN, DataSync
- § Backup and Disaster Recovery approach and design
- § Environment and application automation
- § CloudFormation and third-party automation approach/strategy
- § Network connectivity, Direct Connect and VPN
- § AWS Cost Management and Optimization
Bonus points if you have
- A system engineering or developer background with the ability to learn quickly and share your knowledge with the broader team.
- A mindset of automate everything, with experience demonstrating this.
Leadership essentials
- Always do the right thing in every decision and action
- Lead with excellence, confidence and humility as demonstrated by being a learner, building great teams and being naturally collaborative
- Exemplify client-centricity and a commitment to Client Value Creation
- Act as a true partner to each other, our clients, our ecosystem and our communities
- Care deeply for all our people to help them achieve their aspirations professionally and personally
- Have the courage to change and the ability to bring our people along the journey
- Live our unwavering commitment to inclusion and diversity as demonstrated by personal impact and overall results
- Actively innovate-seeking new answers, applying a tech, AI and data first mindset, looking internally across Accenture and outside-to partners, competitors, start-ups, clients, academia and analysts-to learn, respectfully challenge our assumptions and apply the innovation, and cultivate and reward our people for doing the same
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 04/07/2026Accenture 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 and Annual Salary Range
California $132,500 to $302,400
Cleveland $122,700 to $241,900