Capgemini Invent - Technical Architect Digital Manufacturing - Managing Consultant

Capgemini • Dallas, TX

73d • $105,600 - $190,000

About The Position

Capgemini Invent’s Smart Plant group transforms manufacturing operations, processes, and technologies through advisory, consulting, expertise, and digital solutions. The Managing Consultant (Technical Architect) in Digital Manufacturing designs and implements next-generation manufacturing solutions, combining technical expertise and hands-on operational technology experience to connect shop-floor equipment with enterprise data platforms. The role calls for a platform-native, AI-centric approach to innovation in digital manufacturing.

The position leads client projects delivering AI-powered manufacturing improvements and architects solutions using IIoT, MES, AI platforms, and modern IT/OT and automation technologies. The consultant works with cross-functional teams to develop scalable, platform-based solutions integrating shop-floor and enterprise systems, and engages clients to understand needs, define requirements, develop and present architectures, and provide technical leadership through delivery. The role also contributes to business development through proposals, solutioning, and technical presentations, while applying emerging technologies such as AI, analytics, microservices, edge computing, operational twins, and manufacturing automation.

The role is part of an AI-enabled consulting model. Consultants are expected to use AI-augmented approaches for research, analysis, and solution development, collaborate across strategy, technology, data, and design, and apply responsible AI principles including ethics, privacy, security, and governance. The position is described as hybrid in the sense of bridging shop-floor equipment and data platforms; the job posting does not specify a remote, onsite, or hybrid workplace arrangement.

Requirements

• Bachelor’s degree in Information Technology, Computer Science, Electrical Engineering, Information Systems, or a related field.
• 4–6 years of hands-on experience in operational technology, IIoT, data platforms, Manufacturing Execution Systems, or related fields.
• Experience with technologies from vendors such as Siemens, Rockwell, PTC, Microsoft Fabric, or Tulip.
• A next-generation, AI-centric, platform-native approach to solutioning.
• Background as a systems architect or application engineer, or in a client-facing services role within manufacturing or technical consulting environments.
• Familiarity with microservices architecture and edge devices.
• Ability to work in a role bridging shop-floor equipment and data platforms.
• Strong AI literacy, including core AI and generative AI concepts and their application to enterprise transformation.
• Ability to identify and support AI-enabled opportunities that improve business outcomes and delivery effectiveness.
• Experience working in AI-augmented ways to enhance research, analysis, and solution development.
• Understanding of responsible AI principles, including ethics, privacy, security, and governance.
• Curiosity and a continuous-learning mindset regarding emerging AI capabilities and their practical application in client environments.

Nice To Haves

• Experience in Life Sciences manufacturing, GMP, LIMS, or EBR.
• Familiarity with manufacturing data standards such as OPC-UA, MQTT, or Kafka.
• Strong analytical and problem-solving skills.
• Project management experience.
• Excellent communication and client engagement abilities.
• Technology architecture certification.

Responsibilities

• Lead client projects to deliver AI-powered manufacturing improvements.
• Design and architect technical solutions for manufacturing clients using IIoT, MES, AI platforms, and modern IT/OT and automation technologies.
• Collaborate with cross-functional teams to deliver scalable, platform-based solutions integrating shop-floor and enterprise systems.
• Engage clients to understand needs, define requirements, craft technical architectures and integrated solutions, present architectures, and provide technical leadership throughout delivery.
• Support business development by contributing to proposals, solutioning, and technical presentations.
• Apply and share knowledge of emerging technologies, including AI, analytics, microservices, edge computing, IIoT, operational twins, and manufacturing automation.
• Use AI-augmented approaches to enhance research, analysis, and solution development.
• Collaborate across strategy, technology, data, and design to enable AI-driven solutions.

Benefits

• Paid time off based on employee grade, including 12–25 vacation days depending on grade, company-paid holidays, personal days, and sick leave.
• Medical, dental, and vision coverage, or provincial healthcare coordination in Canada.
• Retirement savings plans, such as a 401(k) in the U.S. or RRSP in Canada.
• Life and disability insurance.
• Employee assistance programs.
• Other benefits as provided by local policy and eligibility.
• The role may be eligible for variable incentives, bonuses, or commissions, depending on position and applicable laws.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager