AI/ML Solutions Architect

Role Description

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.

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.

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.