AI Solutions Architect

🕒 July 24

🇺🇸 United States – Remote

💵 $145k - $188k / year

⏰ Full Time

🟠 Senior

🔴 Lead

💻 Solutions Engineer

👻 Ghost score 9%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Cuesta Partners

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2019

🏥 Healthcare

📦 Logistics

📣 Marketing

Healthcare • Logistics • Marketing

Cuesta Partners is a management and technology consulting firm that helps organizations translate strategy into measurable outcomes, specializing in AI, data, and technology-driven transformations. The firm provides services across mergers & acquisitions (technology diligence and integration), technology strategy, data strategy and execution, AI strategy and implementation, and delivery & transformation to accelerate time-to-value for enterprise clients. Cuesta works with private equity, healthcare, pharma, distributors, and other mid-market and enterprise companies to unlock value through AI-ready data platforms, analytics, and operational change.

📋 Description

• Design cloud-native AI and data solution architectures, including reference patterns, data flows, AI/ML workflows, and LLM orchestration that balance scalability, security, cost, and speed to value. • Translate AI and data architectures into clear diagrams, executive-ready narratives, visuals, and roadmaps for technical and non-technical stakeholders. • 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 (e.g., Snowflake, BigQuery, Databricks) and external APIs. • Collaborate with ML Engineers and Data Engineers to validate architectural alignment and integration feasibility. • Conduct architecture reviews and risk assessments; identify and execute course corrections as needed. • Architect AI solutions that leverage LLMs and RAG patterns to deliver interpretable insights and human-readable outputs from complex model results. • Mentor junior architects and consultants; contribute to reusable accelerators, templates, and an internal knowledge base. • Provide technical oversight across multiple client engagements, ensuring architectural consistency, delivery quality, and alignment between business requirements and implemented solutions. • Provide hands-on guidance to engineering and data teams on API integrations, data pipelines, and AI service connectivity, ensuring solutions are scalable, secure, and maintainable. • Stay current on emerging AI platforms, LLM tooling, and cloud-based data services, continuously evaluating how they can enhance our integration capabilities.

🎯 Requirements

• 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, including data platform integration, LLM orchestration, and secure API connectivity. • 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 pipelines (OpenCV, TorchVision). • - AutoML & orchestration (Vertex AI, SageMaker, MLflow, Kubeflow, Airflow). • Solid grounding in data modeling, API design (REST/GraphQL), containerization (Docker, Kubernetes), and IaC (Terraform, CloudFormation, or Pulumi). • Exceptional communication skills—able to whiteboard with engineers in the morning and brief the C-suite in the afternoon. • Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience). • Consulting or professional-services experience.

🏖️ Benefits

• Offers Bonus • In addition to the base salary, there is typically an annual bonus of between 15-25% of salary.