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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.

- 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.

- Versátil 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.

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📌 (Data & AI/ML) Solutions Architect | Latam (Colombia)
🏢 Dormont Manufacturing
📍 Colombia