Capgemini Invent - Contextual Systems Engineer Senior Consultant

Contextual Systems Engineer Senior ConsultantAt 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.About the Job You're Considering At Capgemini Invent, our Data Driven Transformation (DDT) team makes AI work at scale by combining data science and engineering with business consulting. We build context-driven analytics and GenAI/agentic systems that reflect how decisions and work actually happen—grounded in semantic layers, strong data foundations, and governance embedded in decision flows. With a builder-advisor ("forward deployed") mindset, DDT delivers production-ready impact across operations and customer domains, redefining what enterprise AI advisory looks like in practice.Your Role As a Senior Consultant, Contextual Systems, you will own defined workstreams end-to-end within AI and data-driven transformation engagements. You will design and implement the semantic and knowledge foundations that enable AI systems to understand enterprise context, working closely with senior architects and client data teams to deliver production-quality solutions. You will develop trusted relationships with day-to-day client counterparts, operate independently within your workstreams, and manage priorities while escalating appropriately. In addition to client delivery, you will begin contributing to internal knowledge development and practice assets within the Data Driven Transformation team.Core responsibilities include:Designing and implementing semantic layer architectures end-to-end, including LookML models, dbt metrics, and ontologiesBuilding knowledge graph schemas and implementing GraphRAG patterns for contextual AI retrievalDefining context contracts, including versioned semantic objects, governed datasets, and metric definitionsLeading technical workshops to extract and encode enterprise knowledge into machine-readable formsEvaluating and configuring knowledge platform tooling, including graph databases, vector stores, and embedding pipelinesPartnering with AI engineering teams to integrate context layers into agentic and AI workflowsYour Skills + Experience You bring strong AI literacy, including core AI and generative AI concepts, and understand how these capabilities apply to enterprise transformation. You are able to identify and support AI-enabled opportunities that improve business outcomes and delivery effectiveness, and you have experience working in AI-augmented ways of working to enhance research, analysis, and solution development. You collaborate effectively across strategy, technology, data, and design to enable AI-driven solutions, with a solid understanding of responsible AI principles such as ethics, privacy, security, and governance. You demonstrate curiosity and a continuous learning mindset around emerging AI capabilities and their practical application in client environments.Required: 5–6 years of experience in data engineering, data architecture, or knowledge management Hands-on expertise with semantic layer tooling such as LookML, dbt, or equivalent technologies Experience designing and working with knowledge graphs (Neo4j preferred) Familiarity with modern LLM integration patterns, including RAG, embedding pipelines, and vector stores Strong ability to translate business semantics into formal, well-governed technical specificationsBeneficial experience: Experience working across cloud data platforms such as BigQuery or Snowflake Exposure to governance and catalog tooling (e.g., Collibra, Atlan) Interest in applied AI, agentic architectures, and enterprise-scale contextual systemsThe 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.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 eligibilityImportant 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.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.