AWS Technical Architect

Accenture•St. Louis, MO

9d•$54,400 - $196,000

About The Position

The AWS Technical Architect supports cross-industry organizations as they reinvent, scale, and compete using cloud technology. The role contributes to cloud architecture, pre-sales, sales, and client delivery, with a focus on AWS and emerging technologies such as AWS Agentic AI services. The architect communicates technical concepts, collaborates with clients and delivery teams, and contributes to solution design, technical discussions, and implementation planning. The role takes ownership of defined technical tasks and work products, building expertise through established patterns and collaboration with experienced architects. The position designs and contributes to reusable Enterprise Cloud Architecture, Data & AI, Migration, and Agentic AI solution assets, including reference architectures, accelerators, frameworks, and proof-of-concept templates. It supports client pursuits and delivery by helping prepare presentations, workshops, demonstrations, RFP/RFI responses, solution designs, estimates, and technical guidance across cloud, data, analytics, machine learning, and generative AI. The role participates in architecture reviews and quality assessments, identifies risks and improvement opportunities, and documents recommendations for delivery teams. It collaborates with AWS Partner sales, account teams, solution architects, and technology partners to support client solutions, business development, and delivery. Travel may be required and can vary from 0 to 100% depending on business and client needs.

Requirements

Bachelor's degree or equivalent, including a minimum of 12 years of work experience; applicants with an associate degree must have a minimum of 6 years of work experience.
At least 3 years of hands-on AWS experience, including familiarity with core cloud services and architecture concepts such as compute, storage, networking, identity and access management, and security.
At least 3 years of experience contributing to at least one AWS implementation and/or migration, preferably in an enterprise-scale environment.
At least 3 years of experience with scripting and the ability to develop or maintain AWS environments as code.
At least 3 years of experience with automation or Infrastructure-as-Code tools such as CloudFormation, Terraform, Ansible, Puppet, or Jenkins.
At least 3 years of working knowledge of core AWS platform architecture, including Organizations and account design; VPCs, subnets, and segmentation strategies; migration tools such as CloudEndure, MGN, or DataSync; backup and disaster recovery; environment and application automation; network connectivity including Direct Connect and VPN; and AWS cost management and optimization.

Nice To Haves

Systems engineering or developer background, with the ability to learn quickly and share knowledge with the broader team.
A mindset of automating repetitive work and experience identifying opportunities to improve consistency and efficiency through automation.
Exposure to AWS AI, machine learning, generative AI, or Agentic AI services.
Experience with enterprise networking, cloud migration, or large-scale cloud environments.
AWS Certified Solutions Architect – Associate or Professional certification.
Strong problem-solving and analytical skills, including the ability to explain technical concepts and recommendations to technical and non-technical audiences.
Ability to collaborate with clients, internal teams, and more experienced architects to develop, review, and troubleshoot technical solutions.

Responsibilities

Design and contribute to reusable Enterprise Cloud Architecture, Data & AI, Migration, and Agentic AI solution assets, including reference architectures, accelerators, frameworks, and proof-of-concept templates.
Support client pursuits and delivery by helping prepare client presentations, solution workshops, demonstrations, RFP/RFI responses, solution designs, estimates, and technical guidance.
Provide technical guidance across cloud, data, analytics, machine learning, and generative AI.
Participate in architecture reviews and quality assessments; identify risks and opportunities for improvement and document recommendations for delivery teams.
Collaborate with AWS Partner sales, account teams, solution architects, and technology partners to support client solutions, business development, and delivery.
Stay current on emerging AWS and AI technologies and contribute to technical materials, solution approaches, and opportunities to apply new capabilities to client solutions.
Apply established architecture patterns, seek input from senior team members when needed, and share learnings with the broader team.
Take ownership of defined technical tasks and work products.