AI-Driven Solutions Architect: Agentic PoC Leader

Amazon; Austin (TX); On-site; USD 154,000 - 208,000; Full time

Job summary

Amazon Web Services (AWS) seeks a Senior Solutions Architect to lead technical direction for Software and Technology customers in Austin, TX. You will define architecture strategy, build PoCs, and validate AI-enabled solutions in customer environments.

You will partner with sales and ProServe teams, own architectural decisions, and mentor senior customers’ technical leaders, balancing performance, security, and cost while leveraging agentic AI and GenAI tooling.

Qualifications

• 8+ years in software, cloud, systems engineering, security, or data domains.
• 3+ years designing or implementing applications and infrastructures.
• Bachelor's degree in computer science, engineering, mathematics or equivalent.
• Hands-on experience building and validating solutions, not only advising.
• Proven ability to communicate across technical and non-technical stakeholders, including executives.

Responsibilities

• Lead technical direction for AWS customers and architecture strategy.
• Build PoCs, proof points, and AI-driven solutions in customer sandboxes.
• Own cross-team architectural decisions and ensure sustainment with customers.
• Partner with sales to formulate and execute AWS adoption strategies.
• Present to executives and IT leaders; influence technology direction.
• Mentor customers and internal teams on AI-augmented development.

Skills

Cloud architecture

Software development

Infrastructure as Code

Executive communication

AI/ML familiarity

Education

Bachelor's degree in CS or related field

Tools

Kiro

Claude Code

Bedrock

Terraform

CDK

Job description

Amazon Web Services (AWS) seeks a Senior Solutions Architect to lead technical direction for Software and Technology customers in Austin, TX. You will define architecture strategy, build PoCs, and validate AI-enabled solutions in customer environments.

You will partner with sales and ProServe teams, own architectural decisions, and mentor senior customers’ technical leaders, balancing performance, security, and cost while leveraging agentic AI and GenAI tooling.