About The Position

We are seeking an experienced AI Solutions Architect / AI Engineering Advisor to lead the design, strategy, and deployment of Generative AI solutions on AWS. This is a highly consultative and stakeholder-facing role that combines deep technical expertise with strategic advisory responsibilities. The ideal candidate will serve as a trusted advisor to customer leadership teams, helping define AI roadmaps, governance frameworks, and scalable architectures while guiding the successful implementation of AI-powered applications.

Requirements

  • 5+ years of experience in cloud architecture, AI/ML, software engineering, or related fields
  • Hands-on experience designing and deploying Generative AI solutions
  • Strong knowledge of Amazon Bedrock and AWS AI services
  • Experience with foundation models, prompt engineering, and LLM-based applications
  • Experience building Retrieval-Augmented Generation (RAG) solutions
  • Knowledge of embeddings and vector database technologies
  • Strong understanding of scalable cloud architectures and application deployment
  • Excellent communication and stakeholder management skills
  • Ability to engage with both technical teams and executive leadership
  • Eligibility to work in the United States without current or future visa sponsorship. (Green Card holder)

Nice To Haves

  • AWS Certified Solutions Architect (Associate or Professional)
  • Experience advising enterprise customers on AI transformation initiatives
  • Knowledge of AI governance, risk management, and responsible AI frameworks
  • Experience leading AI strategy and architecture discussions with executive stakeholders
  • Background in machine learning, cloud-native application development, or data platforms

Responsibilities

  • Design and architect Generative AI solutions on AWS
  • Advise customer leadership on AI strategy, adoption, and governance
  • Build and deploy scalable AI applications leveraging Amazon Bedrock and foundation models
  • Design Retrieval-Augmented Generation (RAG) architectures
  • Implement embeddings and vector database solutions
  • Evaluate and recommend foundation models based on business requirements
  • Establish AI governance, security, and responsible AI best practices
  • Collaborate with engineering teams to operationalize AI solutions in production
  • Provide architectural guidance and technical leadership across AI initiatives
Ā© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service