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Knowledge Graph Engineer Jobs in Illinois (NOW HIRING)

Sr. Solutions Engineer- Chicago

Chicago, IL · On-site

$57 - $73.50/hr

Neo4j is the graph intelligence platform that transforms data into knowledge to power the next ... Neo4j Solution Engineers play a central, hands-on role as clients consider and evaluate Neo4j ...

Sr. Solutions Engineer- Chicago

Chicago, IL

$57 - $73.50/hr

Neo4j is the graph intelligence platform that transforms data into knowledge to power the next ... Neo4j Solution Engineers play a central, hands-on role as clients consider and evaluate Neo4j ...

Position- Software Engineer Location- Chicago, IL Duration- Long-term Salary- $Negotiable/Annum 1. ... knowledge of any No SQL technologies such as Mongo DB, Cassandra, etc. Qualifications Graph DB ...

AI and knowledge architecture: Guide the design of semantic layers, ontologies, and knowledge graph-style approaches that make enterprise data intelligently discoverable and reliably consumable by ...

Knowledge grounding and retrieval expertise-vector search, hybrid retrieval, reranking, knowledge graph patterns, citations/traceability, and measurable accuracy improvements. * AIOps engineering ...

Knowledge grounding and retrieval expertise-vector search, hybrid retrieval, reranking, knowledge graph patterns, citations/traceability, and measurable accuracy improvements. * AIOps engineering ...

Knowledge grounding and retrieval expertise-vector search, hybrid retrieval, reranking, knowledge graph patterns, citations/traceability, and measurable accuracy improvements. * AIOps engineering ...

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Knowledge Graph Engineer information

Which IT job is the highest paid?

In the IT industry, roles such as Chief Information Officer (CIO), Solutions Architect, and Cloud Engineer tend to be among the highest paid, often earning six-figure salaries. Specialized skills in cybersecurity, cloud computing, and data management can also command top compensation levels for experienced professionals.

What engineers make 500,000?

Senior-level engineers in specialized fields such as software engineering, data engineering, or machine learning engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant funding.

What engineers make 300,000 a year?

Senior engineers in specialized fields such as software engineering, data engineering, and machine learning engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and working in high-demand industries or companies. Roles often require strong technical expertise, certifications, and sometimes leadership responsibilities.

Are knowledge graphs the future?

Knowledge Graph Engineers work with structured data models that represent relationships between entities, and knowledge graphs are increasingly used in AI, search engines, and data integration. As organizations seek to improve data understanding and interoperability, expertise in knowledge graphs is expected to remain in demand, especially with skills in graph databases and semantic modeling. This trend suggests that knowledge graphs are likely to play a significant role in future data-driven applications.
What are popular job titles related to Knowledge Graph Engineer jobs in Illinois? For Knowledge Graph Engineer jobs in Illinois, the most frequently searched job titles are:
What job categories do people searching Knowledge Graph Engineer jobs in Illinois look for? The top searched job categories for Knowledge Graph Engineer jobs in Illinois are:
What cities in Illinois are hiring for Knowledge Graph Engineer jobs? Cities in Illinois with the most Knowledge Graph Engineer job openings:
Infographic showing various Knowledge Graph Engineer job openings in Illinois as of June 2026, with employment types broken down into 100% Full Time. Highlights an 49% In-person, and 51% Remote job distribution.

Capgemini Invent- Contextual Systems Engineer Management Consultant

Capgemini Invent

Chicago, IL • On-site

$127K - $249K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


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.
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 Managing Consultant, Contextual Systems, you will lead the end-to-end design and delivery of enterprise context platforms that enable AI systems to understand and operate on business knowledge at scale. You will own the architecture vision for a client's semantic and knowledge layer, manage delivery teams, and ensure solutions meet both technical standards and business requirements.
You will serve as a trusted advisor to VP-level client leaders, including data architects, CDOs, and engineering executives, owning the technical relationship and guiding platform decisions. Operating with significant independence, you are accountable for engagement quality, team performance, and client satisfaction.
In addition to client delivery, you will contribute to account growth and practice development, helping shape DDT's contextual systems methodology, reusable accelerators, and architectural standards.
Core responsibilities include:
  • Leading end-to-end design and delivery of enterprise context platforms for major clients
  • Architecting knowledge graph solutions, semantic layers, and context store infrastructure at scale
  • Owning technical relationships with client data, AI, and engineering leadership
  • Establishing platform governance standards, versioning protocols, and reusable architectural patterns
  • Managing delivery teams to ensure quality, timeliness, and alignment with client objectives
  • Contributing to DDT's contextual systems methodology and accelerator library
  • Driving account expansion by identifying adjacent platform and architecture opportunities

Your 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:
  • 7-9 years of experience in data or knowledge architecture, with enterprise-scale delivery experience
  • Deep expertise in semantic layers, knowledge graphs, and metadata management
  • Proven experience leading technical delivery teams in consulting or client-facing environments
  • Strong understanding of AI/ML integration patterns and governed data infrastructure
  • Demonstrated ability to architect platforms designed to scale and endure beyond the engagement

Beneficial experience:
  • Experience across cloud data platforms such as BigQuery or Snowflake
  • Familiarity with governance and catalog tooling (e.g., Collibra, Atlan)
  • Interest in applied AI, contextual systems, and agent-enabled architectures

The base compensation range for this role in the posted location is: $127,500 - $249,350
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. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
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.