AI Architect
Talentus Global
contract
Posted on:
Location Type: Remote
Location: Colombia
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About the role
- Design and define the end-to-end architecture for AI and machine learning solutions across the organization.
- Lead the design, development, and deployment of scalable AI systems, including predictive models, generative AI, and intelligent automation.
- Define AI platform architecture including data pipelines, model training environments, MLOps frameworks, and model deployment strategies.
- Collaborate with data scientists, data engineers, and software engineers to translate business requirements into scalable AI solutions.
- Evaluate and select appropriate AI/ML frameworks, tools, and cloud services to support enterprise AI initiatives.
- Establish best practices for model development, governance, monitoring, and lifecycle management.
- Design architectures for integrating AI capabilities into enterprise applications, APIs, and business workflows.
- Ensure AI solutions meet requirements for performance, scalability, security, and compliance.
- Lead technical decision-making related to model infrastructure, LLM integration, vector databases, and AI orchestration frameworks.
- Drive the adoption of responsible AI practices, including model explainability, bias mitigation, and ethical AI principles.
- Guide teams on AI architecture patterns such as RAG (Retrieval Augmented Generation), AI agents, and multi-model orchestration.
- Support AI innovation by evaluating emerging technologies and identifying opportunities for competitive advantage.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- 4- 6 years of experience in software engineering, data engineering, or machine learning systems.
- 2+ years designing or implementing AI/ML architectures at scale.
- Strong experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Experience designing solutions with Generative AI and Large Language Models (LLMs).
- Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Experience implementing MLOps practices including model versioning, CI/CD pipelines, monitoring, and governance.
- Strong understanding of data architectures including data lakes, feature stores, and real-time data pipelines.
- Experience with AI integration patterns such as APIs, microservices, and event-driven architectures.
- Knowledge of vector databases, embeddings, and semantic search architectures.
- Strong problem-solving skills and the ability to translate complex business problems into AI solutions.
- Excellent communication skills with the ability to explain complex AI concepts to both technical and non-technical stakeholders.
- Advanced English proficiency skills (C1) required.
Benefits
- Contractor model
- Remote model
- Salary in $USD
- Paid Vacations
- Day off for birthdays
- Benefits courses and/or certifications
- Opportunity to work with top-tier U.S. clients.
- Entrepreneurial, multicultural team culture.
- Work–Life Balance program: 4-day work week (Monday to Thursday)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI architecturemachine learning frameworksTensorFlowPyTorchScikit-learnGenerative AILarge Language ModelsMLOps practicesdata architecturesreal-time data pipelines
Soft Skills
problem-solvingcommunicationcollaborationtechnical decision-makingleadershipexplain complex conceptstranslate business requirementsdrive adoption of responsible AI practicesguide teamssupport innovation
Certifications
Bachelor’s degree in Computer ScienceMaster’s degree in Artificial IntelligenceMaster’s degree in Data Science