Capgemini Invent - AI Solutions Architecture & Engineering Managing Consultant

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.

About the Job You’re Considering

At Capgemini Invent, the Data Driven Transformation (DDT) team helps organizations unlock the full value of their data and AI investments to drive meaningful, scalable change. As part of Capgemini’s Strategy & Transformation Consulting practice, DDT partners with clients to shape data‑centric strategies, modern operating models, and AI‑enabled solutions that deliver measurable business outcomes.

Our unified team model brings together expertise across Data & AI Advisory, Data Platforms & Architecture, and Applied Data Fusion, enabling seamless collaboration from strategy through execution. We work with leading organizations across industries including manufacturing, energy, consumer products, and life sciences to design future‑ready capabilities and accelerate value realization.

The DDT team is recognized for:

• Enabling Generative AI to improve efficiency and unlock new sources of innovation
• Applying data and AI to sustainability and digital transformation initiatives
• Designing scalable, reusable data and AI products
• Delivering value quickly in complex, fast‑moving environments

 

Your Role

As an AI Solutions & Engineering Managing Consultant, you will lead technical delivery on complex AI engagements, owning architecture decisions and guiding engineering teams from design through production deployment. You will serve as a senior technical partner to clients, balancing architectural rigor with practical delivery and contributing to account growth through trusted execution.

You will:

• 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

Your Skills + Experience

You bring strong AI literacy, including core AI and generative AI concepts, and understand how these capabilities apply to enterprise transformation. You are able to identify and support AI‑enabled opportunities that improve business outcomes and delivery effectiveness, and you have experience working in AI‑augmented ways of working to enhance research, analysis, and solution development. You collaborate effectively across strategy, technology, data, and design to enable AI‑driven solutions, with a solid understanding of responsible AI principles such as ethics, privacy, security, and governance. You demonstrate curiosity and a continuous learning mindset around emerging AI capabilities and their practical application in client environments.

Required Skills:

• 7–9 years in software or solutions architecture, with AI delivery experience
• 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

The base compensation range for this role in the posted location is: $135,900 - $265,880.

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.