Capgemini Invent - Technical Architect Digital Manufacturing - Managing Consultant

About the role

At Capgemini Invent, the Enterprise Transformation team is evolving its consulting model to be AI-enabled by design — augmenting human judgment with analytics, automation, and generative AI. The Smart Plant group redefines the industrial site, transforming manufacturing through advisory, expertise, consulting, and digital capabilities. As a Manager Technical Architect in Digital Manufacturing within the Intelligent Industry practice, you will design and implement next-generation manufacturing solutions, translating manufacturing requirements into scalable architectures across IT, OT, and manufacturing systems. This role requires a platform-native, AI-centric mindset to drive innovation in digital manufacturing environments, bridging shop floor equipment and enterprise data platforms.

Responsibilities

• Engage with clients to understand underlying needs, create requirements, craft technical architectures and integrated solutions, present solution architectures, and provide technical leadership throughout the delivery lifecycle.
• Design and architect technical solutions for manufacturing clients, leveraging IIoT, MES, AI platforms, and modern IT/OT/automation technologies.
• Serve as the subject matter expert for manufacturing processes, operations, quality, material flow, traceability, and shop floor execution.
• Engage with Manufacturing, Engineering, Quality, Operations, IT, and OT teams to understand current and future-state processes.
• Translate manufacturing processes and requirements into system capabilities, solution architecture, and technical requirements.
• Define how ERP, MES/MOM, SCADA, WMS, QMS, PLM, automation, and data platforms support and integrate with manufacturing processes.
• Design end-to-end manufacturing system architecture, including integrations, interfaces, data flows, and system boundaries.
• Bridge the shop floor and enterprise by connecting OT, manufacturing systems, AI, and IT platforms.
• Lead solution design from requirements through implementation, working with internal teams, vendors, and system integrators.
• Evaluate manufacturing technologies and platforms and provide recommendations aligned to business and operational needs.
• Identify opportunities to standardize, optimize, automate, and digitally enable manufacturing processes.
• Support business development efforts by contributing to proposals, solutioning, and technical presentations.

Requirements

• Bachelor’s degree in Information Technology, Computer Science, Electrical Engineering, Information Systems, or related field.
• 4–6 years in manufacturing, manufacturing engineering, digital manufacturing, or manufacturing systems.
• Strong understanding of manufacturing processes and shop floor operations.
• Experience with OT, IT, GenAI, Agentic AI, AI stacks and foundations, cloud, edge computing/applications, industrial data platforms, IIoT, and manufacturing systems such as MES/MOM, Historians, ERP, SCADA, WMS, or QMS.
• Experience with Industrial AI platforms and related data types, data standards, and data flows (such as MQTT).
• Experience designing or implementing shop floor and manufacturing systems as a systems architect, application engineer, or in a client-facing services role within manufacturing or technical consulting environments.
• Ability to translate manufacturing processes into system requirements and technical architecture.
• Experience integrating manufacturing systems with enterprise applications and shop floor technologies.
• Experience working with engineering, quality, operations, corporate, IT, and site functions.
• Strong problem-solving, communication, architecture, and stakeholder-management skills.

Preferred qualifications

• Experience with Siemens Opcenter, Rockwell, AVEVA, Ignition, Tulip, Cognite Data Fusion, Palantir Foundry, Microsoft Fabric, AWS IoT, or similar manufacturing platforms.
• Exposure to agentic-driven applications.
• Experience with Industry 4.0, smart factory, digital twin, analytics, or AI-enabled manufacturing.
• Agile/Scrum experience.
• Experience in life sciences, automotive/EV, or other complex manufacturing environments.

Pay

The base compensation range for this role in the posted location is $105,600 – $190,000. Actual compensation may fall outside this range and is determined by factors including geographic location, education, qualifications, certifications, relevant experience, seniority, performance, market conditions, and internal pay equity. This role may also be eligible for variable incentives, bonuses, or commissions depending on position and applicable laws.

Benefits

• Paid time off based on employee grade (A–F): Vacation 12–25 days, company-paid holidays, personal days, sick leave.
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada).
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada).
• Life and disability insurance.
• Employee assistance programs.
• Other benefits as provided by local policy and eligibility.