Enterprise AI Architect: AWS, Microservices & Agentic AI

Fractal; Seattle (WA); On-site; USD 145,000 - 215,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

Paid holidays

Parental leave

PTO policy

Job summary

Fractal is seeking an experienced AI Apps Architect on AWS to lead the design, development, and deployment of enterprise-scale AI-powered applications on Amazon Web Services. The ideal candidate will demonstrate deep cloud architecture expertise, guiding cross-functional technical teams while translating business requirements into scalable, cost-aware AI solutions.

The role emphasizes mastery of LLM economics, ROI analysis, and agent architecture trade-offs across Claude, GPT, and other

Qualifications

• 15+ years of software engineering experience, with at least 5 years in enterprise architecture or lead technical roles.
• Deep expertise in AWS services: ECS, EKS, Fargate, Lambda, S3, RDS/Aurora, SageMaker, or Bedrock.
• Strong proficiency in Java/J2EE, Spring Boot, Spring Integration, and RESTful microservices architecture.
• Proven experience designing and deploying event-driven systems using KAFKA, SNS, or SQS.
• Hands-on experience with CI/CD pipelines and container orchestration (Kubernetes/EKS, Docker).
• Strong track record of translating business requirements into scalable technical solutions.
• Excellent cross-functional leadership, communication, and stakeholder management skills.

Responsibilities

• Design and architect enterprise AWS solutions integrating AI/ML services with microservices-based applications
• Define cloud-native patterns, scalability strategies, and deployment models (ECS, EKS, Fargate) for AI-powered applications
• Establish security, compliance, and data governance frameworks for AI/ML workloads on AWS
• Evaluate and integrate agentic AI tools to enhance development velocity and application intelligence
• Lead end-to-end development of microservices and REST APIs, partnering with stakeholders to define delivery roadmaps
• Own application health, release readiness, and production deployment via CI/CD pipelines
• Leverage AI productivity tools to accelerate development and improve delivery consistency
• Design agentic AI systems with understanding of LLM economics—token costs, model pricing tiers, and cost optimization
• Conduct ROI analysis and business case development for AI agent implementations vs traditional APIs
• Architect scalable agent frameworks with cost controls, caching, and token optimization

Job description

Fractal is seeking an experienced AI Apps Architect on AWS to lead the design, development, and deployment of enterprise-scale AI-powered applications on Amazon Web Services. The ideal candidate will demonstrate deep cloud architecture expertise, guiding cross-functional technical teams while translating business requirements into scalable, cost-aware AI solutions.

The role emphasizes mastery of LLM economics, ROI analysis, and agent architecture trade-offs across Claude, GPT, and other