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Amazon Web Services

Sr. GenAI/ML Specialist Solutions Architect, AGS Specialist Solutions Architects

US, GA, Atlanta · 1mo ago

Not specified8+ YOE

Quick summary

AI parsed
Experience
8+ years in technology domain (software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics); 3+ years in design, implementation, or consulting; 5+ years in IT development or implementation/consulting in software/Internet industries; experience architecting solutions on AWS; familiarity with GenAI software vendor ecosystem
Arrangement
hybrid

Responsibilities

  • Work with customers' development and data science teams to understand business and technical needs, then design solutions leveraging AWS AI/ML services including SageMaker, Amazon Bedrock, Amazon Rekognition, Amazon Transcribe, and other services
  • Partner with SAs, Sales, Business Development and AI/ML Service teams to accelerate customer adoption and revenue for Amazon SageMaker and GenAI-related services across the AMERICAS
  • Provide thought leadership by evangelizing AWS ML services and sharing best practices through AWS blogs, whitepapers, reference architectures, and public speaking events like AWS Summit and re:Invent
  • Act as technical liaison between customers and AWS service teams to provide customer-driven product improvement feedback and develop internal community of GenAI subject matter experts

Benefits

Mentorship & Career Growth · Work/Life Balance and flexibility · Inclusive Team Culture with employee-led affinity groups · Knowledge-sharing and career-advancing resources

Full description

Application deadline: Applications will be accepted on an ongoing basis Are you passionate about Artificial Intelligence, Machine Learning, and GenerativeAI? Are you passionate about helping customers build solutions leveraging the state-of-the-art AI/ML/GenAI tools on Amazon Web Service (AWS)? Come join us! At Amazon, we’ve been investing deeply in artificial intelligence for over 20 years, and many of the capabilities customers experience in our products are driven by machine learning. Amazon.com’s recommendations engine is driven by machine learning (ML), as are the paths that optimize r…