AI Solutions Architect | US

Cuesta Partners · Remote · Remote US ·
Fully remoteFull-timeMiddle3–5 years
COMPENSATION
$145k – $188k
0 applicants so far

Listed on the employer's job board (Ashby)

  • Fully remote (US)
  • Senior level role
  • AI/ML architecture
  • Cloud-native solutions
  • Client-facing position

As an AI Solutions Architect, you will lead the design of end-to-end integration-first AI solutions. Your focus will be on connecting AI-enabled products, cloud services, and data platforms to ensure technical soundness and business impact.

You will own solution design from discovery through handoff, balancing technical trade-offs with strategic priorities. This role requires translating complex architectures into clear narratives for both technical and non-technical stakeholders.

What you'll do

  • Design cloud-native AI and data solution architectures including reference patterns and workflows
  • Translate technical architectures into diagrams and narratives for diverse stakeholders
  • Advise clients on AI strategy, governance, and build-versus-buy decisions
  • Integrate and orchestrate data across cloud warehouses, lakes, and external APIs
  • Collaborate with engineering teams to validate architectural alignment and feasibility
  • Conduct architecture reviews and execute course corrections based on risk assessments
  • Mentor junior architects and contribute to internal knowledge bases and templates
  • Provide technical oversight across multiple client engagements for consistency

What you'll need

  • 8+ years in solution architecture, data engineering, or software engineering
  • 3+ years architecting AI/ML solutions in production environments
  • Experience designing cloud-native AI solutions on AWS, Azure, or GCP
  • Hands-on experience with deep-learning frameworks like TensorFlow or PyTorch
  • Proficiency with NLP/LLM stacks such as Hugging Face, LangChain, or RAG patterns
  • Solid grounding in data modeling, API design, and containerization tools
  • Exceptional communication skills for engaging engineers and executive leadership
  • Bachelor’s degree in Computer Science, Engineering, or equivalent experience

Nice to have

  • Familiarity with privacy regulations like GDPR/CCPA and AI governance frameworks
  • Track record leading GenAI POCs or production deployments such as chatbots
  • Relevant certifications from AWS, Google Cloud, Microsoft Azure, or TensorFlow

Stack

  • AWS
  • Azure
  • GCP
  • Snowflake
  • BigQuery
  • Databricks
  • TensorFlow
  • PyTorch
  • Hugging Face
  • LangChain
  • Docker
  • Kubernetes
  • Terraform

How you'll work

  • Fully remote position
  • Based in the United States