Currently tracking 36 active AI roles, down 21% versus the prior 4 weeks. Primary focus: Ship · Engineering. Salary range $137k–$143k (avg $140k).
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.
BCG currently has 15 active AI-related roles in our index. The most common open titles are: BCG Platinion | Senior IT Architect - AI Platforms (2), (Senior) Forward Deployed AI Scientist, Greater China - BCG X, BCG Platinion | Principal Architect - AI Platforms, Data Scientist , 中途/Mid-Career, BCG X, Japan, Forward Deployed AI Engineer, Denmark - BCG X. Most positions are in Engineering.
BCG's active AI hiring is concentrated in: application (60%), agents (40%). 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), France (2 roles), Thailand (1 role), Netherlands (1 role).
Job postings at BCG most frequently reference: agent orchestration, model serving, rag, llm observability, inference infra.
In the past 30 days, BCG has posted 23 new AI-related roles. That is a -53% change versus the prior 30 days (49 → 23).
| Title | Stage | AI score |
|---|---|---|
| (Senior) Forward Deployed AI Scientist, Greater China - BCG X This role involves applying advanced analytics and data science methods to solve real-world business problems for clients across various industries. The Data Scientist will be responsible for the full analytics value chain, from framing business challenges and designing algorithms to implementing and deploying scalable solutions. They will also contribute to thought leadership, develop new analytics service offerings, and help clients embrace AI. The role requires strong technical expertise, problem-solving skills, and the ability to manage engagements and client relationships. | Ship | 7 |