Junior AI & Metadata Engineer

Capgemini

Colombia

Híbrido

COP 186.841.000 - 203.081.000

Jornada completa

hace 13 horas
Sé de los primeros/as/es en solicitar esta vacante

Recibe más respuestas de empleadores

Envía un currículum específico para el puesto de trabajo en cuestión de minutos.

Ventajas ofrecidas por este puesto de trabajo

Healthcare
401(k)
Paid time off
Parental leave
Mentoring

Descripción de la vacante

Capgemini in Charlotte, NC is seeking an AI & Metadata Engineer to design AI-enabled metadata extraction capabilities, automate lineage discovery, and generate structured metadata insights. This role focuses on applying AI/LLM technologies to analyze enterprise assets and produce actionable metadata.

You will work with data architects to build extraction and enrichment pipelines, implement validation, and help improve model performance.

Formación

  • Proficiency in Python and NLP concepts.
  • Experience with Generative AI/LLMs.
  • Familiarity with GCP AI Services.
  • Prompt engineering experience is a plus.

Responsabilidades

  • Develop AI-assisted metadata extraction solutions.
  • Develop lineage extraction and inference services.
  • Implement metadata normalization and enrichment frameworks.
  • Build confidence scoring and validation mechanisms.
  • Evaluate AI model performance and extraction quality.
  • Collaborate with data architects and lineage engineers.

Conocimientos

Python
Generative AI / LLMs
Prompt Engineering
NLP & Information Extraction
GCP AI Services

Descripción del empleo

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Job Location - Charlotte NC (Day One site - Hybrid)

About The Role
  • The AI & Metadata Engineer will design and build AI-enabled metadata extraction capabilities to automate lineage discovery and evidence generation.
  • This role will focus on leveraging AI/LLM technologies to analyze enterprise assets and generate structured metadata and lineage insights.
Key Responsibilities
  • Develop AI-assisted metadata extraction solutions.
  • Develop lineage extraction and inference services.
  • Implement metadata normalization and enrichment frameworks.
  • Build confidence scoring and validation mechanisms.
  • Evaluate AI model performance and extraction quality.
  • Collaborate with data architects and lineage engineers.
Required Skills
  • Python
  • Generative AI / LLMs
  • Prompt Engineering
  • NLP & Information Extraction
  • GCP AI Services
Preferred Qualifications
  • Experience with GenAI / LLMs based solutions implementation
Life At Capgemini
  • Flexible work
  • Healthcare including dental, vision, mental health, and well-being programs
  • Financial well-being programs such as 401(k) and Employee Share Ownership Plan
  • Paid time off and paid holidays
  • Paid parental leave
  • Family building benefits like adoption assistance, surrogacy, and cryopreservation
  • Social well-being benefits like subsidized back-up child/elder care and tutoring
  • Mentoring, coaching and learning programs
  • Employee Resource Groups
  • Disaster Relief
Disclaimer

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. 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 accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Salary Transparency

The primary focus is to help organizations design, develop, and optimize their data infrastructure and systems. They help organizations enhance data processes, and leverage data effe

Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $61000 to $66302 /yearly.

This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.

The base compensation range for this role in the posted location is:61000 to 66302

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.

Benefits
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.

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.

Consigue la evaluación confidencial y gratuita de tu currículum.
o arrastra y suelta tu archivo aquí
Similar jobs

Puestos de trabajo similares que vale la pena comparar

Data Science (Engineering foundations)
Data Science (Engineering foundations)

Capgemini Engineering • Colombia

Híbrido
COP 90.000.000 - 150.000.000
Free access to learning platforms
Hybrid working options
Well-being Hub access
Quality Inspector
Quality Inspector

Capgemini • Colombia

Presencial
COP 136.034.000 - 296.799.000
Paid time off (PTO)
Medical, dental, vision coverage
Retirement savings plans
+1
Quality Inspector (Kinston, NC)
Quality Inspector (Kinston, NC)

Capgemini Engineering • Colombia

Presencial
COP 215.286.000 - 504.683.000
Quality Inspector (Kinston, NC)
Quality Inspector (Kinston, NC)

Capgemini • Colombia

Presencial
COP 215.286.000 - 504.683.000
Paid time off
Medical coverage
Retirement plans
+2
AI Engineer
AI Engineer

Capgemini Engineering • Bogotá

Presencial
Senior Python Developer (Azure)
Senior Python Developer (Azure)

Capgemini Engineering • Colombia

Presencial
USD <1000
Machine Learning Engineer
Machine Learning Engineer

Capgemini Engineering • Colombia

Presencial
COP 182.501.000 - 255.503.000
Stable Employment
Learning & Development
Language Training
+3
Application specialist
Application specialist

Capgemini • Bogotá

Híbrido
COP 120.000.000 - 180.000.000
Free learning platforms access
Well-being hub
Career acceleration programs
Quality Inspector
Quality Inspector

Capgemini Engineering • Colombia

Presencial
COP 137.411.000 - 299.803.000
Paid time off
Medical coverage
Retirement savings plan
Senior Machine Learning Engineer
Senior Machine Learning Engineer

Capgemini Engineering • Colombia

Presencial
COP 120.000.000 - 190.000.000
Stable Employment
Learning & Development
Language Training
+3