AI/ML Solutions Architect

AVAHI

AI/ML Solutions Architect designing and delivering scalable solutions using AWS services. Engaging customers, managing relationships, and guiding AI/ML adoption with a focus on best practices.

Posted 7/2/2026full-timeRemote • California • 🇺🇸 United StatesMid-LevelSenior💰 $120,000 - $150,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and maintaining technical relationships with customers, focusing on AI/ML adoption and cloud-native architectural solutions. Proficient in leveraging AWS services, particularly SageMaker and Bedrock, to deliver scalable AI/ML architectures and optimize performance and cost.

Highest-signal resume keywords

AWS Services ExpertiseAI/ML/GenAI KnowledgeInfrastructure-as-Code (IaC) PrinciplesStrong Communication SkillsProblem-Solving Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AWS SageMakerAWS BedrockMLOpsML TrainingData EngineeringModel EvaluationFine-TuningPrompt EngineeringTerraformCloudFormation

Soft Skills

Strong CommunicationProblem-SolvingInfluencing Stakeholders

Tools & Technologies

AWS Well-Architected Framework

Industry Keywords

AI/ML AdoptionCloud-Native SolutionsTechnical RelationshipsCost OptimizationPublic Speaking

Tech Stack

Tools & technologies

AWSCloudTerraform

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

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.

Benefits

Comp & perks

Remote-First Flexibility: Enjoy work-life harmony in a remote-first environment that allows you to work from anywhere.
Innovative Culture: We embrace a startup mindset, encouraging creativity, agility, and growth.
Career Development: Avahi is committed to your growth, offering mentorship and opportunities to advance your career.
Purpose-Driven Mission: Join us in making a difference. Avahi is dedicated to championing diversity, supporting women in tech, and fostering sustainable practices.
Global Collaboration: Work alongside a diverse, talented team, sharing insights and collaborating to create innovative solutions that make a real impact.