1 day 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.
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 such as 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 multidisciplinary collaboration skills.
- Curiosity and willingness to learn emerging AI technologies and apply them to complex business challenges.
Benefits
- Based in Santiago or Bogotá.
- Opportunity to travel globally to work with clients and BCG teams, with travel varying by client and project needs and sometimes involving significant client-site travel.
- Equal opportunity employer.
Tech Stack
Categories
About BCG
Boston Consulting Group provides management consulting, technology, and design services to large enterprises, governments, and nonprofits, helping with strategy, digital transformation, and operations. The firm works on a project-based, fee-for-service model and also incubates products and ventures through BCG X. Founded in 1963 and headquartered in Boston, it is a global partnership with offices worldwide.