1 month ago
Bogotá, ColombiaMid Level / Senior
Responsibilities
- Analyze application, data, and technology landscapes to identify AI architecture opportunities and constraints.
- Support the design of Generative AI and machine learning architectures aligned with client requirements and enterprise standards.
- Support technology decisions involving foundation models, retrieval-augmented generation, orchestration, guardrails, and MLOps.
- Evaluate cloud platforms, AI services, middleware, and tooling for scalability, performance, security, and cost.
- Develop architecture views, technical roadmaps, and business cases with support from senior team members.
- Contribute to the design and implementation of AI platforms and prototypes.
- Review technical solutions, vendor proposals, and implementation approaches for architectural fit and quality.
- Explain complex architecture concepts to technical and non-technical audiences while collaborating with clients and multidisciplinary teams.
Requirements
- 2–4 years of relevant experience in AI/ML, software engineering, or technology consulting.
- Fluency in English and Spanish.
- Bachelor's or master's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related field.
- Experience designing, developing, or implementing AI, machine learning, or Generative AI solutions in enterprise environments.
- Proficiency in Python and familiarity with TypeScript, JavaScript, or R.
- Experience with AI frameworks and libraries such as TensorFlow, PyTorch, LangChain, or LlamaIndex.
- Understanding of large language models, retrieval-augmented generation, prompt engineering, vector databases, MLOps, and responsible AI principles.
- Knowledge of cloud AI platforms and services including Azure AI Foundry, AWS Bedrock, or Google Vertex AI.
- Experience designing scalable data architectures and integrating structured and unstructured data for AI applications.
- Ability to evaluate architectural options and communicate technical trade-offs to technical and business stakeholders.
- Strong analytical, problem-solving, communication, and collaboration skills, plus curiosity and willingness to learn emerging AI technologies.
Benefits
- Based in Santiago or Bogotá, Colombia.
- Opportunity to travel globally to work with clients and BCG teams; the role may involve significant travel to client sites depending on project needs.
- Work within BCG Platinion’s Expert Consulting Track and multidisciplinary BCG network.
Tech Stack
Categories
Solutions Engineering
