FSSBU - Sr GenAI Developer - GS - D1
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 Description
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5-10 years of professional software development and solution design experience
Strong proficiency in Python programming and architectural design patterns Extensive background with AWS cloud services and cloud-native architectures Experience with AI/ML solution development and governance frameworks Proven experience with data strategy frameworks including cataloging, lineage, and quality management Hands-on experience with generative AI technologies and implementation Key Responsibilities Design scalable, enterprise-grade data and AI solutions and system architectures Build and maintain complex software solutions and AI governance platforms Develop proof-of-concepts to validate architectural approaches and technology choices Implement data cataloging, quality monitoring, and security frameworks Create detailed technical specifications and implementation plans Collaborate with cross-functional teams to translate business requirements into technical designs Implement end-to-end solutions from design through production deployment Technical Requirements Core Technologies Advanced Python development Strong database experience : relational and non-relational AWS services: EC2, S3, RDS, Lambda, API Gateway, Bedrock, SageMaker Containerization and orchestration: Docker, Kubernetes, Helm Data Strategy & Governance Data cataloging tools and metadata management Data quality frameworks and monitoring tools Data security and privacy implementation (encryption, access controls, PII detection) Data lineage tracking and impact analysis Architecture & DevOps Microservices architecture and RESTful API design Infrastructure as Code: Terraform, CloudFormation CI/CD pipelines: Jenkins, GitLab CI, GitHub Actions Monitoring tools: Grafana, Prometheus, Loki Version control systems (Git) AI/ML & Generative AI AI governance frameworks and MLOps practices Generative AI implementation and fine-tuning (LLMs, prompt engineering, RAG) Model monitoring, validation, and compliance implementation Experience with OpenAI, Anthropic, or AWS Bedrock services Understanding of AI ethics, bias detection, and regulatory requirements Preferred Qualifications Bachelor's degree in Computer Science or related field Experience with big data technologies and data pipelines Test-driven development and Agile methodologies AWS certifications Experience with vector databases and embedding technologies New York, United States" |
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
The base compensation range for this role in the posted location is: USD 125k to 135k
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.
New York, NY, US
Nearest Major Market: Manhattan
Nearest Secondary Market: New York City