Job description

Company Overview At Avahi, we’re redefining what it means to be a premier cloud-first consulting company, recognized for our people, culture, and innovative solutions. With expertise in Managed Services, Reselling, Staffing, and Professional Services, we are dedicated to delivering exceptional value and putting customers first. As a remote-first, global team spanning North America, Europe, and Southeast Asia, we foster a collaborative and diverse environment where professional growth, creativity, and mutual respect thrive. Guided by our values—Customer-Centricity, Collaboration, Agility, Innovation, Integrity, and Diversity & Inclusion—we empower businesses to embrace the full potential of a cloud-first approach. Role Summary Avahi is seeking an experienced AI/ML Solutions Architect to join our passionate team. This role combines deep technical expertise with business acumen to craft scalable, resilient, and innovative AI/ML architectures. You will be a trusted advisor to customers, solving complex challenges and guiding them through their AI/ML adoption journey. As part of the sales organization, you’ll collaborate with customers, internal teams, and AWS partners to design and implement cutting-edge solutions while advocating for customer needs and driving best practices. You will also play a pivotal role in enabling field engagement, producing thought leadership content, and contributing to Avahi’s growing reputation in the AI/ML/GenAI space. Key Responsibilities Customer Engagement 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. Solution Architecture 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. Thought Leadership & Content Creation 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. Internal Advocacy 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. Enablement & Field Engagement 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. Required Skills and Qualifications 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. Why Work Here 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. Be part of a team that explores cutting-edge technology and drives impactful solutions. 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. Join Avahi and make an impact in a fast-paced, customer-focused environment with abundant opportunities for growth. Accessibility and Inclusivity Statement At Avahi, we are committed to fostering a workplace that celebrates diversity and inclusivity. We welcome applicants from all backgrounds, experiences, and perspectives, including those from underrepresented communities. We are proud to be an equal opportunity employer, providing a fair and accessible recruitment process for all candidates. If you require accommodations at any stage of the application or interview process, please let us know, and we will work to meet your needs.

Requirements

Must-haves

Company Overview
Customer Engagement
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.
Solution Architecture
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.
Thought Leadership & Content Creation
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.
Internal Advocacy
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.
Enablement & Field Engagement
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.
Required Skills and Qualifications
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.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

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