Principal Applied AI Scientist / Quant Engineer

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

About The Role

• Capgemini is seeking a Principal Applied AI Scientist / Quant Engineer to drive the design, development, and implementation of Artificial Intelligence (AI) enabled applications aligned to the Testing, Monitoring & Audit Technology team within ERAFT (Enterprise Risk, Audit & Finance Technology).
• This role will focus on building intelligent, efficient, and user-centric capabilities that accelerate Testing & Monitoring outcomes across rules and metadata, sampling, execution, results analysis, reporting, workflow, evidence, and audit trails.
• In addition to hands-on development, this role will play a key part in evolving reusable patterns, automation frameworks, and governance approaches for applied AI solutions in enterprise environments. Success in this role is measured by delivery of scalable capabilities, measurable quality, and reliable operational performance aligned to business objectives.
• This role will be a key contributor to shaping AI infrastructure, governance, and automation frameworks, working closely with cross-functional partners in technology, product management, and operations.

• Capgemini is seeking a Principal Applied AI Scientist / Quant Engineer to drive the design, development, and implementation of Artificial Intelligence (AI) enabled applications aligned to the Testing, Monitoring & Audit Technology team within ERAFT (Enterprise Risk, Audit & Finance Technology).
• This role will focus on building intelligent, efficient, and user-centric capabilities that accelerate Testing & Monitoring outcomes across rules and metadata, sampling, execution, results analysis, reporting, workflow, evidence, and audit trails.
• In addition to hands-on development, this role will play a key part in evolving reusable patterns, automation frameworks, and governance approaches for applied AI solutions in enterprise environments. Success in this role is measured by delivery of scalable capabilities, measurable quality, and reliable operational performance aligned to business objectives.
• This role will be a key contributor to shaping AI infrastructure, governance, and automation frameworks, working closely with cross-functional partners in technology, product management, and operations.

Key Responsibilities

• Design, develop and optimize Gen AI applications using agentic frameworks and tools
• Accelerate end to end solution delivery timelines by developing automated data, prompting and evaluation pipelines
• Streamline the enablement of Agentic AI solutions by building solution blueprints, re-usable patterns and identifying process improvements
• Lead AI engineering efforts that drive the design, development, scalability, and evolution of AI-powered products, ensuring AI adoption
• Research and guide engineering efforts to solve complex engineering challenges and balance accuracy, latency and cost
• Develop automated AI model monitoring frameworks, enabling continuous model updates, explainability, and performance tracking
• Develop and scale AI platforms leveraging Large Language Model (LLM) services, real time analytics, AI automation, and intelligent decision-making
• Act as an advisor and collaborate with leadership to integrate AI into existing enterprise systems and cloud platforms to implement innovative and significant business solutions
• Drive cross-functional collaboration to define AI roadmaps, infrastructure strategies, and product enhancements, ensuring AI capabilities align with business AI strategies
• Lead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that require vision, creativity, innovation, and advanced analytical and thinking
• Maintain knowledge of industry best practices and new technologies and recommend innovations that enhance operations or provide a competitive advantage to the organization
• Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership
• Responsible for meticulous governance to address the unique risks posed by GenAI
• Lead technical workstreams and serve as a peer mentor

Required Skills

• 7+ years of Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• Strong expertise in AI model development and deployment with a strong background in LLMs, generative AI, and AI-engineering
• Deep experience with generative AI models, including model prompting, tuning, and safety best practices
• Expertise in solution architecture and applying modular design techniques to agentic workflows
• Solid grasp of data and error analysis, identifying issues and patterns throughout the AI pipeline
• Strong expertise in test or eval driven development, ensuring robust and scalable AI software

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.
Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Salary Transparency

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 $103330 to $128656 /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.