Senior Agentic AI Architect for Enterprise Systems

Capgemini

Atlanta (GA)

On-site

USD 125,000 - 140,000

Full time

19 hours ago
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Benefits offered by this job

Paid time off
Medical, dental, vision coverage
401(k) / RRSP matching
Life and disability insurance

Job summary

Capgemini in Atlanta seeks an experienced Agentic AI Architect to lead enterprise-scale AI solutions. You will define architecture, guide teams, and ensure secure, scalable systems using LLMs, multi-agent frameworks and enterprise integrations.

The role requires 10+ years in software engineering or solution architecture, deep Python expertise, and hands-on work with LangChain, FAISS, Pinecone, and cloud platforms.

Qualifications

  • 10+ years of software engineering, AI/ML, or solution architecture.
  • Strong Python and backend architecture knowledge.
  • Hands-on with LLM ecosystems and agent frameworks.
  • Experience designing multi-agent distributed architectures.
  • Security, data governance, and authentication awareness.

Responsibilities

  • Define end-to-end architecture for agentic AI solutions and integrations.
  • Design scalable agent frameworks using LangChain, Semantic Kernel, AutoGen, CrewAI.
  • Lead LLM-driven systems with robust prompting and governance.
  • Architect RAG pipelines, memory systems and enterprise tool integration.
  • Mentor teams and ensure performance, reliability, and cost optimization.

Skills

Python
LLM frameworks
Multi-agent systems
Architectural design
API design
Cloud platforms
Security & governance
MLOps / LLMOps
Leadership
Stakeholder collaboration

Tools

LangChain
Semantic Kernel
AutoGen
CrewAI
FAISS
Pinecone

Job description

Capgemini in Atlanta seeks an experienced Agentic AI Architect to lead enterprise-scale AI solutions. You will define architecture, guide teams, and ensure secure, scalable systems using LLMs, multi-agent frameworks and enterprise integrations.

The role requires 10+ years in software engineering or solution architecture, deep Python expertise, and hands-on work with LangChain, FAISS, Pinecone, and cloud platforms.

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