Data Science Architect - Capgemini
Atlanta, GA
About the Job
Job Location:
Atlanta ,GA
Job Description:
The Generative AI Architect, you will apply expertise in data science, specifically in artificial intelligence, machine learning, and software architecture to address sophisticated business challenges. You will own the design and implementation of advanced generative AI solutions.
Key Responsibilities:
+ Solution Design: Collaborate with clients and internal teams to understand business requirements, challenges, and opportunities. Lead the end-end tech stack assessment, architecture design for generative AI solutions (including system components, data pipelines, and deployment strategies), and integration of GenAI solution components into broader IT systems and corresponding architecture.
+ Architecture Development: Develop high-level and detailed solution architectures for AI projects. Consider factors such as data integration, solution deployment, scalability, security, performance optimization, and ongoing sustainability.
+ Technical Expertise: Serve as the domain expert on AI technologies, including machine learning, natural language processing, computer vision, and other relevant domains. Hands-on development and delivery of GenAI solutions.
+ Model Selection: Evaluate and select appropriate generative AI components and algorithms based on project objectives, data characteristics, and performance requirements. Design custom models or adapt existing models to meet specific use cases. Guide the development of vector stores, prompt engineering, performance monitoring based on solution design requirements.
+ Governance and Compliance: Define governance frameworks and guardrails for the ethical and responsible use of generative AI technologies.
+ Ensure compliance with regulatory requirements and industry and company standards.
+ Pre-Sales Support: Assist the sales team in pre-sales activities by providing technical expertise, participating in client meetings, and contributing to proposal development. Translate client requirements into feasible AI solutions.
Required Skills:
+ 10 years professional work experience as a data scientist or on advanced analytics / statistics projects with 5 years’ experience in one of the following sectors: Aerospace & Defense, Automotive, Banking, Consumer Products & Retail, Financial Services, Healthcare, High Tech, Industrial Products, Insurance, Life Sciences, Manufacturing, Public Sector, Telecom, Media & Entertainment, and Energy & Utilities.
+ Experienced in design, development, delivery of GenAI solutions with all necessary underlying components and integration within broader IT environments.
+ Master’s degree or PhD in Computer Science, Statistics, Economics, Mathematics, or other closely related field
+ Proven experience in architecting and designing complex AI/ML systems, with a focus on generative AI technologies. Experience in Gen AI ,natural language processing (NLP) and text generation is a plus.
+ Understanding of AI and GenAI domains, GenAI embeddings, and theoretical aspects.
+ Work with RAG, vector stores, and semantic search.
+ Experience with multimodal models.
+ Strong proficiency in machine learning frameworks, libraries, and methodologies such as GPT, GANs, TensorFlow, PyTorch, or similar. Experience with deep learning architectures and techniques.
+ Familiarity with software architecture principles, design patterns, and system integration. Familiarity with cloud computing platforms and hyperscaler technologies (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).
+ Excellent problem-solving skills and analytical thinking. Ability to analyze complex problems, propose innovative solutions, and evaluate trade-offs.
+ Strong communication and leadership skills. Ability to effectively communicate technical concepts to clients and non-technical stakeholders and lead cross-functional teams.
+ Highly Preferred: 5 years professional experience as and Data and AI thought leader in a large technology consulting firm.
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
About Capgemini
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, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.
Get The Future You Want | www.capgemini.com
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
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.
Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.
Job:
Organization: _I and D Global Business Line_
Title: _Data Science Architect_
Location: _GA-Atlanta_
Requisition ID: _077728_
Atlanta ,GA
Job Description:
The Generative AI Architect, you will apply expertise in data science, specifically in artificial intelligence, machine learning, and software architecture to address sophisticated business challenges. You will own the design and implementation of advanced generative AI solutions.
Key Responsibilities:
+ Solution Design: Collaborate with clients and internal teams to understand business requirements, challenges, and opportunities. Lead the end-end tech stack assessment, architecture design for generative AI solutions (including system components, data pipelines, and deployment strategies), and integration of GenAI solution components into broader IT systems and corresponding architecture.
+ Architecture Development: Develop high-level and detailed solution architectures for AI projects. Consider factors such as data integration, solution deployment, scalability, security, performance optimization, and ongoing sustainability.
+ Technical Expertise: Serve as the domain expert on AI technologies, including machine learning, natural language processing, computer vision, and other relevant domains. Hands-on development and delivery of GenAI solutions.
+ Model Selection: Evaluate and select appropriate generative AI components and algorithms based on project objectives, data characteristics, and performance requirements. Design custom models or adapt existing models to meet specific use cases. Guide the development of vector stores, prompt engineering, performance monitoring based on solution design requirements.
+ Governance and Compliance: Define governance frameworks and guardrails for the ethical and responsible use of generative AI technologies.
+ Ensure compliance with regulatory requirements and industry and company standards.
+ Pre-Sales Support: Assist the sales team in pre-sales activities by providing technical expertise, participating in client meetings, and contributing to proposal development. Translate client requirements into feasible AI solutions.
Required Skills:
+ 10 years professional work experience as a data scientist or on advanced analytics / statistics projects with 5 years’ experience in one of the following sectors: Aerospace & Defense, Automotive, Banking, Consumer Products & Retail, Financial Services, Healthcare, High Tech, Industrial Products, Insurance, Life Sciences, Manufacturing, Public Sector, Telecom, Media & Entertainment, and Energy & Utilities.
+ Experienced in design, development, delivery of GenAI solutions with all necessary underlying components and integration within broader IT environments.
+ Master’s degree or PhD in Computer Science, Statistics, Economics, Mathematics, or other closely related field
+ Proven experience in architecting and designing complex AI/ML systems, with a focus on generative AI technologies. Experience in Gen AI ,natural language processing (NLP) and text generation is a plus.
+ Understanding of AI and GenAI domains, GenAI embeddings, and theoretical aspects.
+ Work with RAG, vector stores, and semantic search.
+ Experience with multimodal models.
+ Strong proficiency in machine learning frameworks, libraries, and methodologies such as GPT, GANs, TensorFlow, PyTorch, or similar. Experience with deep learning architectures and techniques.
+ Familiarity with software architecture principles, design patterns, and system integration. Familiarity with cloud computing platforms and hyperscaler technologies (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).
+ Excellent problem-solving skills and analytical thinking. Ability to analyze complex problems, propose innovative solutions, and evaluate trade-offs.
+ Strong communication and leadership skills. Ability to effectively communicate technical concepts to clients and non-technical stakeholders and lead cross-functional teams.
+ Highly Preferred: 5 years professional experience as and Data and AI thought leader in a large technology consulting firm.
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
About Capgemini
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, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.
Get The Future You Want | www.capgemini.com
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
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.
Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.
Job:
Organization: _I and D Global Business Line_
Title: _Data Science Architect_
Location: _GA-Atlanta_
Requisition ID: _077728_
Source : Capgemini