Job Description

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 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.

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:  105,600 - 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 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 range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: 

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, 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

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect.  We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States.  

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

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