(Data & AI/ML) Solutions Architect | Latam

Position Summary

As our Data & AI/ML Solutions Architect, you’ll serve as the technical and strategic bridge between customers, delivery teams, and executive stakeholders—designing end-to-end architectures that combine modern data platforms, advanced analytics, and applied AI/ML. You’ll own solution design from discovery through handoff, ensuring every engagement is technically sound, financially viable, and positioned for measurable business impact.

Key Responsibilities

• 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.

Required Qualifications

• 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

Bonus Skills

• 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).

Core Competencies

• Architectural Systems Thinking – Visualizes complex interactions across data, application, and infrastructure layers.
• AI/ML Depth & Breadth – Stays current on techniques, tooling, and responsible-AI best practices.
• Client Influence – Builds trust quickly; frames solutions around tangible ROI.
• Execution Leadership – Drives estimation accuracy, risk mitigation, and delivery quality.
• Collaboration & Mentoring – Elevates team capability through coaching and knowledge sharing.

Why You’ll Love Working With Us

• 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.

…and more! Additional perks and initiatives to make your experience at Cuesta Partners even better.