Lead AI Solutions Architect & Delivery Executive

Capgemini; Atlanta (GA); On-site; USD 101,000 - 190,000; Full time

Benefits offered by this job

401(k) retirement plan

Paid time off

Medical, dental, and vision coverage

Job summary

Capgemini Invent is seeking an AI Solutions & Engineering Managing Consultant to lead technical delivery on complex AI engagements and own architecture decisions across stack, integration, and deployment. You will guide engineering teams and engage VP/Director‑level stakeholders to ensure delivery excellence.

You will bring strong AI literacy, experience in enterprise AI integration, and a track record of shipping production AI systems at scale, with a focus on responsible AI governance and

Qualifications

• 7–9 years in software or solutions architecture with AI delivery.
• Deep expertise in agentic AI systems and enterprise AI integration.
• Proven experience leading engineering teams in client environments.
• Strong client presence and executive‑level technical communication.
• Track record of shipping production AI systems at scale.

Responsibilities

• Lead end‑to‑end technical delivery on flagship AI engagements.
• Own architecture decisions including stack selection, integration, and deployment.
• Manage engineering teams and establish delivery and code quality standards.
• Lead technical discussions with VP / Director‑level client stakeholders.
• Identify expansion opportunities grounded in technical delivery insights.

Skills

AI delivery experience

Agentic AI systems

Engineering team leadership

Executive communication

Software/solutions architecture

Job description

Capgemini Invent is seeking an AI Solutions & Engineering Managing Consultant to lead technical delivery on complex AI engagements and own architecture decisions across stack, integration, and deployment. You will guide engineering teams and engage VP/Director‑level stakeholders to ensure delivery excellence.

You will bring strong AI literacy, experience in enterprise AI integration, and a track record of shipping production AI systems at scale, with a focus on responsible AI governance and