Job Description
Alderson Loop is seeking an experienced AI Architect / Cloud-Native Solutions Architect to support a major cloud and AI modernization initiative with one of our clients. This individual will play a key role in designing and building a next-generation SaaS platform that incorporates cloud-native application architecture and advanced AI/agentic capabilities.
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The ideal candidate brings a strong combination of AWS cloud architecture, SaaS application design, and hands-on experience architecting and deploying AI agents. This is a highly collaborative, technical leadership role requiring someone who can establish architecture standards, own solution design, and work closely with engineering teams to deliver scalable solutions.
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We are looking for someone who thrives in a fast-paced, agile environment, takes ownership of technical challenges, and can balance strategic architecture with hands-on implementation.
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Key Responsibilities
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- Lead the architecture, design, and implementation of cloud-native applications and AI-powered solutions within a next-generation SaaS platform.
- Own the technical architecture of individual platform modules, ensuring scalability, reliability, and alignment with broader enterprise standards.
- Design and deploy AI agents and agentic workflows leveraging AWS services, particularly Amazon Bedrock AgentCore.
- Architect scalable, multi-tenant SaaS applications using AWS and Kubernetes.
- Collaborate with engineering, DevOps, and architecture teams to establish technical standards, reusable patterns, and best practices.
- Provide hands-on technical guidance and contribute to implementation when necessary.
- Evaluate and implement agentic architecture patterns, including RAG and multi-agent systems.
- Translate business and technical requirements into scalable, production-ready solutions.
- Support agile development practices, rapid prototyping, MVP delivery, and continuous improvement.
- Partner closely with technical leadership to drive architectural decisions and long-term platform strategy.
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Required Qualifications
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- Proven experience designing and architecting cloud-native applications within AWS.
- Strong understanding of SaaS application architecture, including multi-tenancy and scalable application design.
- Hands-on experience with Kubernetes and containerized application architectures.
- Experience architecting, deploying, or integrating AI agents and agentic solutions in AWS.
- Familiarity with Amazon Bedrock AgentCore and its capabilities for deploying and operating AI agents.
- Strong understanding of modern application architecture principles, cloud services, and distributed systems.
- Ability to balance high-level solution architecture with hands-on technical execution.
- Experience collaborating with development and DevOps teams to deliver production-ready applications.
- Strong communication, problem-solving, and technical leadership skills.
- Experience working in agile environments with an emphasis on iterative development and rapid delivery.
- AWS Certified Solutions Architect – Professional certification strongly preferred.
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Preferred Qualifications
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- Experience with Databricks.
- Strong understanding of RAG architectures, multi-agent systems, and agentic AI design patterns.
- Previous experience designing and building SaaS products or platforms from the ground up.
- Background in startup, consulting, or fast-paced product development environments.
- Experience establishing cloud architecture standards and technical governance practices.
- Experience delivering MVPs and incrementally scaling solutions based on business needs.
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