Principal Applied AI Scientist / Quant Engineer
About The Position
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.
Requirements
- 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
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
Benefits
- 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
- Vacation: 12-25 days, depending on grade
- Company paid holidays
- Personal Days
- Sick Leave
- Medical, dental, and vision coverage
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
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What This Job Offers
Job Type
Full-time
Career Level
Principal
Education Level
No Education Listed
