BCG has 54 active AI-related job listings. The application stage dominates these openings, accounting for 69% of roles, followed by the agents stage at 28%. Engineering is the top function, and the company is hiring in India, the United States, and France. Frequent tech tags include agent_orchestration, rag, and llm_observability, suggesting a focus on agent-based AI systems and their operational aspects. Over the last 30 days, BCG has posted 40 new AI roles, representing a 21% increase compared to the previous 30-day period.
Currently tracking 36 active AI roles, down 82% versus the prior 4 weeks. Primary focus: Ship · Engineering. Salary range $137k–$143k (avg $140k).
BCG currently has 16 active AI-related roles in our index. The most common open titles are: (Senior) Forward Deployed AI Scientist, Greater China - BCG X, AI Architect (all genders) - BCG Platinion Vienna, Austria, AI Architect (all genders) - BCG Platinion Zurich, Switzerland, BCG Platinion Lead/Principal Architect - Data & AI, BCG Platinion | Principal Architect - AI Platforms. Most positions are in Engineering.
BCG's active AI hiring is concentrated in: application (56%), agents (44%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
BCG is hiring AI talent in: United States (2 roles), Thailand (2 roles), France (2 roles), Switzerland (1 role).
Job postings at BCG most frequently reference: agent orchestration, model serving, inference infra, rag, llm observability.
In the past 30 days, BCG has posted 16 new AI-related roles. That is a -64% change versus the prior 30 days (44 → 16).
| Title | Stage | AI score |
|---|---|---|
| BCG Platinion Lead/Principal Architect - Data & AI Senior Data/AI Architect at BCG Platinion, focusing on advisory and leadership to design modern data architectures supporting AI/ML, analytics, and real-time processing. The role involves defining future-ready data strategies, governance frameworks, and cloud-native solutions to enable AI-driven use cases for clients. Responsibilities include guiding organizations on cloud data platforms, data modeling, governance, and emerging technologies like data lakes, meshes, and AI/ML-enabled architectures. | Agent | 7 |