Generative AI Lead

As a Generative AI Lead at Infogain, you will play a pivotal role in building and scaling enterprise-grade AI and LLM solutions. Your deep technical expertise and strategic vision will drive AI-powered automation, knowledge discovery, and intelligent product innovation. Key Responsibilities: Design and deploy production-grade GenAI pipelines, agentic frameworks, and knowledge graph solutions. Build and optimize prompt orchestration, RAG pipelines, multi-agent workflows, and evaluation frameworks. Fine-tune LLMs using LoRA/QLoRA for domain-specific intelligence. Collaborate across product, engineering, and business teams, translating complex AI concepts into impactful solutions. Mentor team members and establish best practices in GenAI, ML, and knowledge engineering. Qualifications Required: 8-12 years of experience in Analytics, Data Science, with hands-on experience in Generative AI and advanced ML/NLP solutions. Strong programming proficiency in Python and experience with AI/ML frameworks and libraries. Expertise in agentic application architectures, semantic/knowledge graphs, RAG pipelines, and multi-agentic frameworks. Experience designing and deploying AI-driven automation, intelligent workflows, and product enhancements. Familiarity with ETL, data cleaning, data imputation, and cloud AI/ML platforms (AWS, Azure, GCP). Strong understanding of Deep Learning methods, ensemble methods, SVMs, and NLP techniques. Ability to communicate complex AI concepts to both technical and business stakeholders. Infogain is a leader in digital customer experience engineering, providing outcomes for Fortune 500 companies and digital natives in various industries. They accelerate experience-led transformation using technologies like cloud, microservices, automation, IoT, and artificial intelligence. With offices in multiple locations globally, Infogain is a multi-cloud expert across hyperscale cloud providers. Note: The additional details of the company were not explicitly mentioned in the JD. As a Generative AI Lead at Infogain, you will play a pivotal role in building and scaling enterprise-grade AI and LLM solutions. Your deep technical expertise and strategic vision will drive AI-powered automation, knowledge discovery, and intelligent product innovation. Key Responsibilities: Design and deploy production-grade GenAI pipelines, agentic frameworks, and knowledge graph solutions. Build and optimize prompt orchestration, RAG pipelines, multi-agent workflows, and evaluation frameworks. Fine-tune LLMs using LoRA/QLoRA for domain-specific intelligence. Collaborate across product, engineering, and business teams, translating complex AI concepts into impactful solutions. Mentor team members and establish best practices in GenAI, ML, and knowledge engineering. Qualifications Required: 8-12 years of experience in Analytics, Data Science, with hands-on experience in Generative AI and advanced ML/NLP solutions. Strong programming proficiency in Python and experience with AI/ML frameworks and libraries. Expertise in agentic application architectures, semantic/knowledge graphs, RAG pipelines, and multi-agentic frameworks. Experience designing and deploying AI-driven automation, intelligent workflows, and product enhancements. Familiarity with ETL, data cleaning, data imputation, and cloud AI/ML platforms (AWS, Azure, GCP). Strong understanding of Deep Learning methods, ensemble methods, SVMs, and NLP techniques. Ability to communicate complex AI concepts to both technical and business stakeholders. Infogain is a leader in digital customer experience engineering, providing outcomes for Fortune 500 companies and digital natives in various industries. They accelerate experience-led transformation using technologies like cloud, microservices, automation, IoT, and artificial intelligence. With offices in multiple locations globally, Infogain is a multi-cloud expert across hyperscale cloud providers. Note: The additional details of the company were not explicitly mentioned in the JD.