Job description

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. Location - Atlanta GA Job Description We are seeking a highly motivated Conversational AI Engineer to design, develop, and deploy intelligent AI-powered conversational solutions. The ideal candidate will possess strong expertise in Large Language Models (LLMs), Natural Language Processing (NLP), Machine Learning, Generative AI, and Angular-based application development. This role requires hands-on experience building production-ready AI solutions, implementing Retrieval-Augmented Generation (RAG) architectures, and deploying scalable AI applications in cloud environments. Key Responsibilities • Design, develop, and deploy conversational AI solutions leveraging Large Language Models (LLMs) such as GPT, Llama, and other foundation models. • Build intelligent chatbots, virtual assistants, and AI-powered applications for enterprise use cases. • Implement Retrieval-Augmented Generation (RAG) architectures using vector databases and semantic search technologies. • Develop prompt engineering strategies and optimize prompts to improve response quality, accuracy, and user experience. • Evaluate, fine-tune, and optimize LLMs for business-specific applications. • Apply NLP techniques including intent recognition, text classification, sentiment analysis, entity extraction, summarization, and semantic search. • Utilize frameworks such as TensorFlow, PyTorch, and other AI/ML platforms to build scalable solutions. • Analyze large datasets and continuously improve model performance through experimentation and optimization. • Manage the end-to-end lifecycle of AI and machine learning models using MLflow or similar MLOps tools. • Deploy, monitor, and maintain production-grade AI/GenAI applications. • Ensure reliability, scalability, and operational excellence of deployed AI solutions. • Integrate conversational AI capabilities into modern web applications using Angular. • Develop intuitive and responsive user interfaces for AI-powered experiences. • Collaborate with backend and AI teams to seamlessly connect LLM and ML services with enterprise applications. • Implement real-time conversational experiences and intelligent user interactions. • Validate and review LLM solution architectures to ensure performance, governance, and scalability. • Deploy AI and machine learning models on cloud platforms such as Azure, AWS, or Google Cloud Platform. • Stay current with advancements in Generative AI, Conversational AI, LLMs, NLP, and emerging AI technologies. • Develop proof-of-concepts, prototypes, and pilot solutions to evaluate new technologies. Required Qualifications • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field. • 5+ years of hands-on experience in AI development, data analysis, and machine learning. • Proven experience building and deploying production-grade AI/ML solutions. • Strong expertise in Conversational AI, Generative AI, NLP, and Large Language Models (LLMs). • Experience with LangChain or similar LLM orchestration frameworks. • Hands-on experience implementing RAG solutions using vector databases. • Experience with GPT, Llama, or other commercial/open-source LLMs. • Strong proficiency in Python and software engineering best practices. • Experience with Angular and modern web application development. • Knowledge of MLflow or similar MLOps platforms for model lifecycle management. • Experience with TensorFlow, PyTorch, or equivalent machine learning frameworks. • Familiarity with Azure, AWS, or Google Cloud services for AI deployment and scaling. The base compensation range for this role in the posted location is: $80000 - $90000 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. capgemini.com 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.

Requirements

Must-haves

Location - Atlanta GA
Design, develop, and deploy conversational AI solutions leveraging Large Language Models (LLMs) such as GPT, Llama, and other foundation models.
Build intelligent chatbots, virtual assistants, and AI-powered applications for enterprise use cases.
Implement Retrieval-Augmented Generation (RAG) architectures using vector databases and semantic search technologies.
Develop prompt engineering strategies and optimize prompts to improve response quality, accuracy, and user experience.
Evaluate, fine-tune, and optimize LLMs for business-specific applications.
Apply NLP techniques including intent recognition, text classification, sentiment analysis, entity extraction, summarization, and semantic search.
Utilize frameworks such as TensorFlow, PyTorch, and other AI/ML platforms to build scalable solutions.
Analyze large datasets and continuously improve model performance through experimentation and optimization.
Manage the end-to-end lifecycle of AI and machine learning models using MLflow or similar MLOps tools.
Deploy, monitor, and maintain production-grade AI/GenAI applications.
Ensure reliability, scalability, and operational excellence of deployed AI solutions.
Integrate conversational AI capabilities into modern web applications using Angular.
Develop intuitive and responsive user interfaces for AI-powered experiences.
Collaborate with backend and AI teams to seamlessly connect LLM and ML services with enterprise applications.
Implement real-time conversational experiences and intelligent user interactions.
Validate and review LLM solution architectures to ensure performance, governance, and scalability.
Deploy AI and machine learning models on cloud platforms such as Azure, AWS, or Google Cloud Platform.
Stay current with advancements in Generative AI, Conversational AI, LLMs, NLP, and emerging AI technologies.
Develop proof-of-concepts, prototypes, and pilot solutions to evaluate new technologies.
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
5+ years of hands-on experience in AI development, data analysis, and machine learning.
Proven experience building and deploying production-grade AI/ML solutions.
Strong expertise in Conversational AI, Generative AI, NLP, and Large Language Models (LLMs).

Nice-to-haves

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Keywords to mirror

aimachine learningangularmlllmazureawspythonaccessibility

Platform: successfactors
Effort: medium

Benefits

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Dental

Vision

401(K)

Paid Time Off