AI-Driven Digital Engineering Consultant

Capgemini; Seattle (WA); On-site; USD 72,000 - 136,000; Full time

Benefits offered by this job

Paid time off 12-25 days

Medical, dental, and vision coverage

Retirement savings plans (e.g., 401(k)

Life and disability insurance

Employee assistance programs

Other local benefits

Job summary

Capgemini Invent seeks a Consultant, Digital Engineering to help clients define and execute transformation initiatives that improve engineering effectiveness and product development.

You will work with client stakeholders and cross-functional Capgemini teams, applying AI-enabled methods to deliver actionable recommendations, and drive implementations across the engineering value chain, including PLM, MBSE, and digital threads.

Qualifications

• 3+ years of consulting and/or industry experience in Digital Engineering or related sectors.
• Experience supporting engineering transformation with measurable outcomes.
• Knowledge of PLM, ERP, MBSE and digital engineering concepts.

Responsibilities

• Support consulting engagements focused on Digital Engineering and transformation initiatives.
• Analyze processes and technology landscapes to identify improvement opportunities.
• Facilitate workshops, gather requirements, and translate findings into recommendations.
• Leverage AI capabilities to improve research, analysis, and client delivery.

Skills

AI literacy

Cross-functional collaboration

Communication

Stakeholder management

Education

Bachelor's degree in Engineering, Computer Science, Systems Engineering, Industrial Engineering, Aerospace Engineering

Tools

PLM

MOM/MES

ERP

MBSE

Model-Based Enterprise (MBE)

Digital Twin

Digital Thread

Job description

Capgemini Invent seeks a Consultant, Digital Engineering to help clients define and execute transformation initiatives that improve engineering effectiveness and product development.

You will work with client stakeholders and cross-functional Capgemini teams, applying AI-enabled methods to deliver actionable recommendations, and drive implementations across the engineering value chain, including PLM, MBSE, and digital threads.