Senior Agentic AI Architect for Enterprise AI

Capgemini; Atlanta (GA); On-site; USD 125,000 - 140,000; Full time

Benefits offered by this job

Paid time off

Medical coverage

Retirement plans

Life insurance

Employee assistance program

Job summary

Capgemini in Atlanta, GA seeks an experienced Agentic AI Architect to design and implement enterprise-scale agentic AI solutions, guiding development teams and ensuring scalable, secure AI systems with LLMs and multi-agent frameworks.

You will lead end-to-end architecture, collaborate with business stakeholders, and promote governance, performance, and cost optimization while exploring cutting-edge AI technologies.

Qualifications

• 10+ years of experience in software engineering, AI/ML, or solution architecture.
• Strong expertise in Python and modern backend architectures.
• Hands-on experience with LLM ecosystems and agent frameworks.
• Proven experience designing multi-agent systems and distributed architectures.
• Deep understanding of: Prompt engineering and LLM optimization; Embeddings and vector databases (FAISS, Pinecone, Azure AI Search); Retrieval-Augmented Generation (RAG).
• Experience with cloud platforms (Azure preferred, AWS/GCP acceptable).
• Strong knowledge of API design, microservices, and event-driven architecture.
• Familiarity with security, authentication (OAuth, SSO), and data governance.

Responsibilities

• Define end-to-end architecture for agentic AI solutions, including multi-agent systems, orchestration layers, and integrations.
• Design and implement scalable agent frameworks using technologies such as LangChain, Semantic Kernel, AutoGen, CrewAI, etc.
• Lead development of LLM-driven systems (Azure OpenAI, OpenAI, Anthropic, etc.) with robust prompting strategies.
• Architect RAG pipelines, memory systems, and tool integration layers.
• Establish best practices for AI governance, security, and Responsible AI.
• Design integration strategies with enterprise systems (CRM, ERP, APIs, data platforms).
• Provide technical leadership, mentorship, and code quality oversight to development teams.
• Collaborate with business stakeholders to translate requirements into technical solutions.
• Ensure performance, scalability, reliability, and cost optimization of AI systems.
• Drive innovation by evaluating emerging AI technologies and frameworks.

Skills

Python

Backend architectures

LLM ecosystems

Agent frameworks

Multi-agent systems

Distributed architectures

Prompt engineering

Cloud platforms

Tools

LangChain

Semantic Kernel

AutoGen

CrewAI

Job description

Capgemini in Atlanta, GA seeks an experienced Agentic AI Architect to design and implement enterprise-scale agentic AI solutions, guiding development teams and ensuring scalable, secure AI systems with LLMs and multi-agent frameworks.

You will lead end-to-end architecture, collaborate with business stakeholders, and promote governance, performance, and cost optimization while exploring cutting-edge AI technologies.