Generative AI Architect
Capgemini
Job Overview
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Job Description
Your Role as a Generative AI Architect at Capgemini Invent
At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative, and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow, informed and validated by science and data, superpowered by creativity and design, and underpinned by technology created with purpose.
This role focuses on creating innovative Generative AI and Agentic solutions to address real-world challenges, while adhering to industry best practices for high-quality solution design and deployment.
Key Responsibilities
- Solution Design: Collaborate with stakeholders to design and implement effective Generative AI and Agentic solutions tailored to specific business requirements, ensuring alignment with industry best practices. This includes framework development, LLM integration, and deep learning/ML expertise.
- Hands-On Development: Engage in hands-on coding and development of AI models and algorithms, utilizing the latest tools and technologies in the Generative AI landscape.
- Solution Development Leadership: Lead the creation of solutions that solve real business problems leveraging Generative AI and Agentic technologies. Focus areas include:
- Business Workflow Automation: Design and develop agentic solutions to automate tedious business workflows.
- Content Generation: Automating the creation of marketing materials, articles, and social media content.
- Data Augmentation: Generating synthetic data for training machine learning models.
- Conversational Agents: Developing chatbots that provide natural, context-aware interactions.
- Document Processing: Automating tasks like summarization and information extraction from documents.
- Personalization: Creating tailored user experiences based on behavior and preferences.
- Prototyping: Build prototypes that showcase Generative AI capabilities in real-time applications.
- Integration: Test how Generative AI solutions can enhance existing enterprise systems.
- Best Practices Awareness: Stay informed about industry best practices and emerging trends in Generative AI, contributing to the continuous improvement of development processes and solution architectures.
- Collaboration: Work closely with data scientists, engineers, and product teams to integrate AI solutions into existing systems and workflows.
Your Profile
Capgemini is looking for a talented Generative AI Architect with 8-12 years of experience. The ideal candidate will have extensive hands-on experience in solutioning, developing frameworks, and leveraging Large Language Models (LLMs), with a strong background in implementing solutions on hyper-scalers.
- Education: Bachelor’s degree in Computer Science, Software Engineering, or a related field; Master’s degree is a plus.
- Technical Skills: Proficiency in programming languages such as Python, TensorFlow, or PyTorch; experience with LLM frameworks and model deployment on platforms like AWS, Azure, or Google Cloud.
- Problem-Solving: Strong analytical mindset with the ability to tackle complex technical challenges and deliver effective solutions.
- Communication Skills: Excellent verbal and written communication skills, enabling you to convey technical concepts to diverse audiences effectively.
What You Will Love About Working Here
Capgemini recognizes the significance of flexible work arrangements to provide support. Be it remote work or flexible work hours, you will get an environment to maintain a healthy work-life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities. Equip yourself with valuable certifications in the latest technologies such as Generative AI.
Key Skills/Competency
- Generative AI
- Agentic Solutions
- Large Language Models (LLMs)
- Solution Design
- Deep Learning
- Machine Learning (ML)
- Python
- AWS / Azure / Google Cloud
- TensorFlow / PyTorch
- Business Workflow Automation
How to Get Hired at Capgemini
- Research Capgemini's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor to understand their inventive transformation consulting approach.
- Customize your resume for Generative AI Architect: Highlight your 8-12 years of experience in Generative AI, LLMs, solutioning, and hyper-scaler deployments (AWS, Azure, Google Cloud). Emphasize projects involving workflow automation, content generation, and conversational agents.
- Showcase technical expertise: Prepare to discuss your proficiency in Python, TensorFlow, PyTorch, and specific LLM frameworks. Provide concrete examples of how you've designed and deployed AI models.
- Prepare for behavioral interviews: Practice articulating your problem-solving skills, collaboration experience, and how you stay current with emerging Generative AI trends and best practices.
- Network within Capgemini: Connect with current employees or recruiters on LinkedIn to gain insights into the hiring process and company expectations for Generative AI roles.
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