Principal Consultant, Generative AI Full Stack Architect Full-time

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose – the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI.

Inviting applications for the role of Principal Consultant, Generative AI Full Stack Architect!

We are looking for a highly motivated and experienced Generative AI Full Stack Architect to join our team. You will be responsible for the design, development, and deployment of generative AI models and systems that will power our next-generation products and services. You will work closely with a team of talented engineers and scientists to push the boundaries of what is possible with generative AI.

Responsibilities

• Design, develop, and deploy generative AI models and systems across the full stack, from data pipelines to front-end applications.
• Collaborate with data scientists, machine learning engineers, and software engineers to define and execute the technical roadmap for generative AI projects.
• Lead the architecture and design of generative AI systems, ensuring scalability, performance, and reliability.
• Develop and implement best practices for generative AI model development, deployment, and monitoring.
• Stay up-to-date on the latest advancements in generative AI research and apply them to our products and services.
• Communicate effectively with technical and non-technical stakeholders to ensure alignment on generative AI initiatives.
• Design generative AI models and outputs seamlessly into user interfaces.
• Stay up-to-date on the latest front-end frameworks and libraries (e.g., React, Vue.js, Angular) and apply them to generative AI projects.
• Optimize front-end performance and responsiveness for various platforms and devices.
• Collaborate with designers and UI/UX experts to ensure a consistent and intuitive user experience.
• Design robust and scalable back-end APIs for generative AI models.
• Implement efficient data pipelines to feed data to and extract outputs from generative AI models.
• Choose and optimize backend technologies (e.g., Python, Java, Node.js) based on model requirements and system limitations.
• Ensure the security and reliability of generative AI systems in production.

Qualifications we seek in you!

Minimum Qualifications

• Master’s degree or bachelor’s degree in computer science, Machine Learning, or a related field, or equivalent experience.
• experience in software engineering, with a focus on full-stack development.
• experience with generative AI models and techniques, such as GANs, VAEs, and autoregressive models.
• Strong understanding of deep learning frameworks, such as TensorFlow, PyTorch, or MXNet.
• Excellent communication, collaboration, and problem-solving skills.
• Ability to work independently and as part of a team.
• Strong passion for generative AI and its potential to transform the world.

Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.

Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a ‘starter kit,’ paying to apply, or purchasing equipment or training.