AI Solutions Architect

Cuesta Partners

AI Solutions Architect designing cloud-native AI and data solutions for clients. Leading architecture and integration efforts in data and machine learning projects.

Posted 7/24/2026full-timeRemote • 🇺🇸 United StatesSeniorLead💰 $145,000 - $188,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing cloud-native AI solutions and data architectures, integrating various platforms, and providing technical oversight across client engagements. Proficient in mentoring teams and translating complex architectures into clear narratives for diverse stakeholders.

Highest-signal resume keywords

Cloud-Native AI Solution ArchitectureAI/ML Workflow DesignData Integration Across PlatformsDeep-Learning FrameworksAPI Design and Connectivity

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Solution ArchitectureData EngineeringAI/ML SolutionsData ModelingAPI DesignContainerizationInfrastructure as CodeNLP/LLM StacksComputer Vision PipelinesAutoML & Orchestration

Soft Skills

Exceptional Communication SkillsMentoring

Tools & Technologies

AWSAzureGCPTensorFlowPyTorchHugging FaceDockerKubernetesTerraformCloudFormation

Industry Keywords

Cloud Data WarehousesData LakesLLM OrchestrationGovernanceEthical Considerations

Tech Stack

Tools & technologies

AirflowAWSAzureBigQueryCloudDockerGoogle Cloud PlatformGraphQLKubernetesPyTorchTensorflowTerraform

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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