Bcg Platinion | Principal Architect - AI Platforms

BCG BCG · Consulting · Atlanta, GA +18 · Technology and Engineering

This role focuses on designing and architecting next-generation intelligent agentic systems, bridging high-level system design with hands-on AI engineering. The Principal AI Platforms Architect will define scalable architectures for AI-driven applications, integrating LLMs, data pipelines, and enterprise systems, with a focus on agentic solutions, RAG patterns, and low-latency inference. The role involves prototyping and evaluating emerging AI frameworks and tools.

What you'd actually do

  1. Define system architectures for AI and LLM-based solutions, ensuring scalability, low-latency inference, and modularity.
  2. Design Agentic AI solutions to optimize business workflow automation, including the use of memory, agentic reflection, and task planning.
  3. Design AI integration patterns, such as RAG, for model orchestration, context management, prompt orchestration, and external system connectivity.
  4. Establish architectural blueprints, design principles, and governance frameworks for model versioning, data lineage and responsible AI solutions across the organization.
  5. Develop minimal viable prototypes or proof-of-concepts to test model architectures, RAG flows, and agent orchestration.

Skills

Required

  • AI Architecture
  • LLM Integration
  • Agentic Systems Design
  • RAG Implementation
  • Low-latency Inference
  • Prototyping
  • Evaluation of AI Frameworks
  • Orchestration Engines

Nice to have

  • Data Pipelines
  • Enterprise Systems Integration
  • Model Versioning
  • Data Lineage
  • Responsible AI
  • Polyglot Model Runtimes
  • Hybrid Pipelines
  • Agile Methodologies

What the JD emphasized

  • design, guide, and evolve the architecture of next-generation intelligent agentic systems
  • bridges high-level system design with hands-on AI engineering
  • comfortable prototyping or coding to validate ideas
  • seamless integration of large language models (LLMs), data pipelines, and enterprise systems
  • Define system architectures for AI and LLM-based solutions, ensuring scalability, low-latency inference, and modularity
  • Design Agentic AI solutions to optimize business workflow automation, including the use of memory, agentic reflection, and task planning
  • Design AI integration patterns, such as RAG, for model orchestration, context management, prompt orchestration, and external system connectivity
  • Architect polyglot model runtimes and hybrid pipelines (batch training + streaming inference) with attention to cost, latency, and risk
  • Develop minimal viable prototypes or proof-of-concepts to test model architectures, RAG flows, and agent orchestration
  • Evaluate emerging AI frameworks and tools (e.g., LangChain, LlamaIndex, LangGraph, Strands, Google ADK, Semantic Kernel) for suitability and integration
  • Develop solutions using the latest agentic orchestration engines, such as n8n, Retool, OpenAI Agentkit, Microsoft Copilot Studio, and AWS Flows

Other signals

  • design, guide, and evolve the architecture of next-generation intelligent agentic systems
  • bridges high-level system design with hands-on AI engineering
  • define scalable architectures for AI-driven applications
  • seamless integration of large language models (LLMs), data pipelines, and enterprise systems
  • Define system architectures for AI and LLM-based solutions, ensuring scalability, low-latency inference, and modularity
  • Design Agentic AI solutions to optimize business workflow automation, including the use of memory, agentic reflection, and task planning
  • Design AI integration patterns, such as RAG, for model orchestration, context management, prompt orchestration, and external system connectivity
  • Architect polyglot model runtimes and hybrid pipelines (batch training + streaming inference) with attention to cost, latency, and risk
  • Develop minimal viable prototypes or proof-of-concepts to test model architectures, RAG flows, and agent orchestration
  • Evaluate emerging AI frameworks and tools (e.g., LangChain, LlamaIndex, LangGraph, Strands, Google ADK, Semantic Kernel) for suitability and integration
  • Develop solutions using the latest agentic orchestration engines, such as n8n, Retool, OpenAI Agentkit, Microsoft Copilot Studio, and AWS Flows