Invent - Sr. Consultant Technical Solutions Architect - Digital Manufacturing

Position: Capgemini Invent - Sr. Consultant - (Technical Solutions Architect) - Digital Manufacturing
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Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future.# Capgemini Invent - Sr. Consultant - (Technical Solutions Architect) - Digital Manufacturing Seattle, New York, San Francisco, Atlanta, Chicago 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.## Your Role 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.

You will:
* 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 under laying 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.**## Qualifications & Experience
* 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.## What You'll Love About Working Here You’ll have the opportunity to:
* 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,.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.

It is not typical for candidates to be hired at or near the top of the posted compensation  addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the…