Vir Healthway

Compensation

Full Description

Job Description: Industry: Insurance Job Category: Information Technology - Enterprise Software Implementation Summary: We are looking for a highly motivated and experienced Generative AI Full Stack Architect to join our team in USA. 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. • Utilize M365 Power platforms Co-pilot to enhance Gen AI Capabilities in the o365 applications. • Frame proper architecture , governance and data loss prevention policies for Co-Pilot to be implemented in the organisation • Leverage AI Builder to incorporate artificial intelligence capabilities into Power Apps, Power Virtual Agents and Power Automate workflows • Guide the application engineers to design, develop , and implement applications and integrations utilizing Microsoft Graph APIs. Qualifications: • Master's degree or bachelor's degree in computer science, Machine Learning, or a related field, or equivalent experience. • 12+ years of experience in software engineering, with a focus on full-stack development. • 4+ years of 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. For more information, visit www.genpact.com. Follow us on Twitter, Facebook, LinkedIn, and YouTube. Security Clearance Required: No Visa Candidate Considered: No Compensation Base Salary - USD $120,000 to $135,000 • ** Never repost *** Full-time Benefits - Full Relocation Assistance Available - No Commission Compensation - No Bonus Eligible - No Overtime Eligible - No Interview Travel Reimbursed - No Candidate Details 15+ years experience Seniority Level - Mid-Senior Management Experience Required - No Minimum Education - Master's Degree Willingness to Travel - Occasionally