BCG
Consulting · Consulting
- HQ
- Boston, US
- Founded
- 1963
- Size
- 15,000+
- Website
- bcg.com
Consulting · Consulting
Currently tracking 36 active AI roles, down 66% 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 18 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 | Principal Architect - AI Platforms, Data Analyst, Predictive Analytics, India- X Delivery. Most positions are in Engineering.
BCG's active AI hiring is concentrated in: application (50%), agents (33%), data (11%). 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: India (4 roles), Thailand (2 roles), Netherlands (2 roles), United States (1 role).
Job postings at BCG most frequently reference: model serving, agent orchestration, inference infra, llm observability, rag.
In the past 30 days, BCG has posted 13 new AI-related roles. That is a -75% change versus the prior 30 days (51 → 13).
| Title | Stage | AI score |
|---|---|---|
| AI Architect (all genders) - BCG Platinion Zurich, Switzerland This role focuses on designing and implementing AI-driven architectures and platforms for enterprises, specifically focusing on agentic systems and autonomous delivery pipelines. The architect will translate enterprise knowledge into scalable business impact, establish trusted AI engineering environments, and implement evaluation and security mechanisms. The role involves hands-on experience with AI systems like LLMs and AI agents, and modern software delivery approaches. | AgentServe | 7 |