Jobs · Engineering

AI/ML Solutions Architect

Avahi · San Francisco, CA · 2 wk ago
EngineeringFull-time

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.

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.

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.

Benefits

  • 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.

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