Cuesta Partners

AI Solutions Architect | US

Remote US. Posted 8 months ago

The role

You will serve as the technical and strategic bridge between customers, delivery teams, and executive stakeholders for AI engagements. You will design end-to-end integration-first AI solutions focusing on connecting AI-enabled products, cloud services, and data platforms.

What you will do

  • Design cloud-native AI and data solution architectures.
  • Translate AI and data architectures into diagrams, narratives, visuals, and roadmaps.
  • Advise clients on AI strategy, build-vs-buy decisions, governance, and ethical considerations.
  • Integrate and orchestrate data across multiple platforms including cloud data warehouses and lakes and external APIs.
  • Collaborate with ML Engineers and Data Engineers to validate architectural alignment.
  • Conduct architecture reviews and risk assessments.
  • Architect AI solutions that leverage LLMs and RAG patterns.
  • Mentor junior architects and consultants.
  • Provide technical oversight across multiple client engagements.
  • Provide hands-on guidance to engineering and data teams on API integrations, data pipelines, and AI service connectivity.

Required qualifications

  • 8+ years in solution architecture, data engineering, or software engineering roles
  • 3+ years architecting AI/ML solutions in production
  • Proven experience designing modern, cloud-native AI solutions and integrations across AWS, Azure, or GCP
  • Hands-on experience with at least two of the following: Deep-learning frameworks (TensorFlow, PyTorch, JAX), NLP/LLM stacks (Hugging Face, LangChain, vector databases, RAG patterns), Computer-vision p
  • Solid grounding in data modeling, API design (REST/GraphQL), containerization (Docker, Kubernetes), and IaC (Terraform, CloudFormation, or Pulumi)
  • Exceptional communication skills
  • Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)
  • Consulting or professional-services experience

Nice to have

  • Familiarity with privacy regulations (GDPR/CCPA) and AI governance frameworks (NIST AI RMF, ISO/IEC 42001 draft)
  • Track record leading GenAI POCs or production deployments (chatbots, copilots, content generation, autonomous agents)
  • Relevant certifications (e.g., AWS Solutions Architect Professional, Google Professional Cloud Architect, Microsoft Azure Solutions Architect, TensorFlow Developer)

About the company

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