Junior AI & Metadata Engineer

Capgemini; Columbia (SC); Hybrid; USD 61,000 - 66,000; Full time

Benefits offered by this job

Flexible work

Healthcare including dental, vision, &

tbd

Job summary

Capgemini in Charlotte, NC seeks an AI & Metadata Engineer to design AI-enabled metadata extraction capabilities for automated lineage discovery and evidence generation.

You will leverage AI/LLM technologies to analyze enterprise assets and generate structured metadata and lineage insights, collaborating with data architects and lineage engineers to ensure robust solutions and scalable data pipelines.

Qualifications

• Proven experience designing AI-enabled metadata extraction to automate lineage discovery.
• Experience leveraging AI/LLM technologies to analyze assets and generate structured metadata.
• Collaboration with data architects and lineage engineers to implement scalable solutions.

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.

Skills

Python

Generative AI / LLMs

Prompt Engineering

NLP & Information Extraction

GCP AI Services

Job description

Job Location - Charlotte NC (Day Onesite - 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

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

• 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.

ctively to drive business outcomes.

For this role, the gross annual base salary range is $56186 to $87556 for a full-time position. This range covers base pay only; we will discuss any bonuses, incentives, and benefits during the hiring process. Your exact offer will depend on objective, job-related factors - like your experience, skills, and qualifications - in line with our fair pay principles. If a collective labour agreement applies to this role, we will share the relevant pay scale details with you. Note: We never ask about your current or past salary during our recruitment process.