Cuesta Partners

Solutions Architect

Cuesta Partners

full-time

Posted on:

Location Type: Hybrid

Location: Colombia

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Job Level

SeniorLead

Tech Stack

AirflowAWSAzureCloudDockerGoGoogle Cloud PlatformGraphQLJavaKubernetesPythonPyTorchTensorflowTerraform

About the role

  • Design cloud-native data and AI architectures (reference patterns, data models, MLOps pipelines, LLM orchestration) that balance scalability, security, cost, and speed to value.
  • Translate complex technical concepts into executive-ready narratives, visuals, and roadmaps.
  • Advise clients on AI strategy, build-vs-buy decisions, governance, and ethical considerations.
  • Provide hands-on guidance to developers, data engineers, and ML engineers; review code, pipelines, and infrastructure for best-practice adherence.
  • Conduct architecture reviews and risk assessments; identify and execute course corrections as needed.
  • Mentor junior architects and consultants; contribute to reusable accelerators, templates, and an internal knowledge base.
  • Evaluate emerging AI/ML tools, frameworks, and cloud services to keep our stack forward-leaning and competitive.

Requirements

  • 8+ years in solution architecture, data engineering, or software engineering roles; 3+ years architecting AI/ML solutions in production.
  • Proven success designing large-scale systems on AWS, Azure, or GCP—including data lakes/warehouses, feature stores, MLOps, model monitoring, and CI/CD.
  • 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).
  • Proficiency in Python and at least one typed language (Go, Java, C#).
  • 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
  • Comprehensive Health Plan: Prepaid health coverage for you and your immediate family.
  • Team Engagement Activities: Fun and meaningful events to connect and grow together.
  • Annual Performance Bonus: Recognition and reward for your hard work.
  • Growth Opportunities: Career development and advancement within the company.
  • Flexible Work: Hybrid model with mostly remote work and one day per week in the office for team connection.
  • Paid Time Off & Holidays: Generous leave to recharge and spend time with loved ones.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
solution architecturedata engineeringsoftware engineeringAI/ML solutionsdeep-learning frameworksNLP stackscomputer-vision pipelinesAutoMLdata modelingAPI design
Soft Skills
communication skillsmentoringadvisingguidanceexecutive communicationcollaborationproblem-solvingrisk assessmentcourse correctionnarrative development