AI/ML Solutions Architect

Avahi•San Francisco, CA

1d•Remote

About The Position

Avahi is seeking an experienced AI/ML Solutions Architect to join their passionate team. This role combines deep technical expertise with business acumen to craft scalable, resilient, and innovative AI/ML architectures. The individual will act as a trusted advisor to customers, solving complex challenges and guiding them through their AI/ML adoption journey. As part of the sales organization, they will collaborate with customers, internal teams, and AWS partners to design and implement cutting-edge solutions while advocating for customer needs and driving best practices. The role also involves enabling field engagement, producing thought leadership content, and contributing to Avahi’s growing reputation in the AI/ML/GenAI space.

Requirements

Hands-on experience with AWS services, including SageMaker and Bedrock.
Deep knowledge of AI/ML/GenAI domains (e.g., MLOps, ML training, inference, data engineering, model evaluation, fine-tuning, prompt engineering, responsible AI).
Strong understanding of infrastructure-as-code (IaC) principles with experience using tools like Terraform or CloudFormation.
Proven track record of delivering successful AWS migration and modernization projects.
Experience engaging decision-makers and leading complex projects to drive extensible, cost-optimized solutions.
Familiarity with the AWS Well-Architected Framework and its application to solution design.
Excellent problem-solving skills and the ability to troubleshoot complex technical issues.
Strong communication skills, both written and verbal, with experience influencing technical and business stakeholders.

Responsibilities

Build and maintain strong technical relationships with customers, acting as their trusted advisor for AI/ML adoption.
Manage the overall technical relationship between Avahi, AWS, and customers, providing recommendations for security, performance, reliability, and cost optimization.
Educate customers on AI/ML/GenAI best practices and guide them through cloud-native architectural solutions.
Design and deliver scalable, flexible, and resilient AI/ML architectures tailored to customer requirements.
Guide customers in refactoring applications or building entirely new cloud-native AI/ML systems.
Leverage AWS services, such as SageMaker and Bedrock, to implement state-of-the-art AI/ML solutions.
Create and share best practices, technical content, and reference architectures (e.g., whitepapers, blogs, workshops).
Evangelize running AI/ML workloads on AWS through public speaking, workshops, meetups, and conferences.
Serve as the voice of the customer, capturing feedback to influence Avahi’s service offerings and AWS roadmap features.
Collaborate with internal teams to ensure successful implementation of AI/ML projects.
Conduct training sessions and workshops for internal teams, customers, and partners to share AI/ML knowledge.
Drive the development of reusable tools and frameworks to enhance operational excellence.