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Job description:

We are seeking a skilled Generative AI (GenAI) Architect to design and implement custom AI solutions on the Azure platform. This role demands expertise in Azure Architecture, Azure AI services, Python, and Prompt Engineering. Experience with open-source frameworks like LangChain, foundational language models (LLMs), and Azure Cognitive Services is highly desirable.

Key Responsibilities:

• Lead the design and deployment of scalable AI solutions using Azure AI services and Cognitive Services.

• Develop and optimize prompts for LLMs to enhance model performance.

• Write and integrate Python code for AI models, data processing, and automation.

• Implement open-source frameworks and advanced AI techniques such as Retrieval-Augmented Generation (RAG).

• Collaborate with multi-functional teams to deliver innovative AI-driven solutions.

Required Skills:

o Demonstrated ability in Building and Designing Cloud Solutions

o Azure Architecture and design patterns, Domain driven architecture, Microservices architecture.

o Must have Experience in Design patterns, proven principles, coding standards, OOPS concepts.

o Strong background in Azure Cloud Architecture and AI capabilities.

o Experience with LLMs, open-source frameworks, and Cognitive Services.

o Solid understanding of building scalable web applications using Web API, RESTful API design

o Strong understanding of Cloud computing concepts and technologies, such as IaaS/SaaS/PaaS, load balancing, Storage, etc.

o Azure native application development using API Management, integration services, Web Computes, Storages, RDBMS and No SQL Databases, Monitoring and Azure Entra ID

o Experience with object–oriented languages, including .Net, .Net Core, and C#

o Experience with using development tools, like Azure DevOps, JIRA, GitHub, and Jenkins.

• Skills:

o Strong problem-solving and critical-thinking abilities.

o Excellent communication and collaboration skills.

o Ability to thrive in a dynamic environment, Agile

Preferred Qualifications:

• Experience with additional cloud platforms (AWS, Google Cloud) would be preferred

• Experience or understanding on Fine tuning of LLM Models

• Familiarity with containerization and deployment of solutions to Azure Environment.

• Relevant Azure Cloud certifications (AZ - 303, AZ – 304), GenAI course/certifications.

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

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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: Developer

Organization: NA APPS LOC PRACTICE

Title: Solution Architect - Gen AI Architect with Azure

Location: GA-Atlanta

Requisition ID: 076615