Invent - Sr. Consultant Technical Solutions Architect - Digital Manufacturing

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.

The Sr. Consultant (Technical Solutions Architect) in Digital Manufacturing will play a key role in designing and implementing next‑generation manufacturing solutions for our clients. This position requires a blend of technical acumen, hands‑on experience with operational technology, and the ability to bridge the gap between shop floor equipment and enterprise data platforms. The ideal candidate brings a platform‑native and AI‑centric mindset to drive innovation in digital manufacturing environments.

• Design and architect technical solutions for manufacturing clients, leveraging IIoT, MES, AI Platforms, and modern IT/OT/automation technologies.
• Collaborate with cross‑functional teams to deliver platform‑based, scalable solutions that integrate shop floor and enterprise systems.
• Engage with clients to understand underlaying needs, create requirements, craft technical architecture and integrated solutions, present solution architectures, and provide technical leadership throughout the delivery lifecycle.
• Support business development efforts by contributing to proposals, solutioning, and technical presentations.
• Lead with knowledge and know‑how in emerging technologies with AI, analytics, micro‑services, edge computing, IIoT, operational twins, and manufacturing automation.

• Bachelor’s degree in Information Technology, Computer Science, Electrical Engineering, Information Systems, or related field.
• 4–6 years of hands‑on experience in Operational Technology (OT), IIoT, Data platforms, Manufacturing Execution Systems, or related fields.
• Experience with technologies from vendors such as Siemens, Rockwell, PTC, Microsoft Fabric, or Tulip.
• Background as a systems architect, application engineer, in a client‑facing services role within manufacturing or technical consulting environments.
• Familiarity with micro‑services architecture and edge devices.
• Ability to leverage and integrate AI/GenAI solutions into overall architecture.
• Ability to work in a hybrid role bridging shop floor equipment and data platforms.

• Build a network within the Capgemini Group and contribute to the education of other Business Units around practice offerings to support existing account expansion.
• Play a significant role in client proposals and RFI/RFP responses from initial brief to final sales presentations.
• Nurture and expand existing account relationships.
• Identify potential personal business relationships that can be leveraged by the practice to develop new business.
• Identify potential project extension and expansion opportunities while staffed on projects.
• Support the development of thought leadership and innovative offerings as they relate to AI/Data Science, Digital Customer Analytics, and Operational Analytics.
• Support the upskilling of the team members on topics related to Data & Analytics.

The base compensation range for this role in the posted location is: 105,600 – 199,480. 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…