Agentic AI Engineer

As an Agentic AI Engineer at Novartis in Hyderabad, you will play a key role in enhancing decision-making by leveraging advanced AI technologies to deliver actionable insights that improve performance and productivity. Your main responsibilities will include: - Developing and deploying scalable AI solutions, with a focus on GenAI applications. - Driving innovation by staying current with advancements in AI, particularly generative models and LLM technologies. - Collaborating with a high-performing team of data scientists to ensure alignment within AI and Data Science initiatives. - Engaging in hands-on development and guiding best practices for code quality, version control, and ML/AI Ops pipelines. - Collaborating with cross-functional teams to integrate AI-driven solutions across platforms and services. - Championing a culture of experimentation and adoption of best practices, inspiring teams with a can-do attitude and acting as an AI role model. Qualifications required for this role include: - Bachelors degree in a related field with 10-12 years of experience, or Masters degree with 8-10 years of relevant experience. - Certifications in GenAI/ML platforms (AWS/Azure) are a plus. - Minimum 7 years working on advanced data science projects, including 2-3 years leading high-performing data science or ML teams. - Experience delivering GenAI and agentic solutions and proven ability to build and deploy scalable ML models using cloud services (AWS, Azure). - Deep understanding of autonomous AI agents and frameworks such as LangGraph, LangFuse, Chain of Thought (CoT), and ReACT. - Strong background in Retrieval-Augmented Generation (RAG) and knowledge grounding techniques. - Proficiency in Python and hands-on experience deploying models in production environments. Additionally, you should have the ability to translate complex algorithmic outputs into clear, outcome-oriented narratives for senior leadership. Preferred qualifications include experience in the commercial pharma industry, a masters in computer science or data science, familiarity with Agile methodologies for project delivery, and strong collaboration skills with cross-functional teams. Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities served. As an Agentic AI Engineer at Novartis, you will have the opportunity to contribute to breakthroughs that change patients lives and create a brighter future together. As an Agentic AI Engineer at Novartis in Hyderabad, you will play a key role in enhancing decision-making by leveraging advanced AI technologies to deliver actionable insights that improve performance and productivity. Your main responsibilities will include: - Developing and deploying scalable AI solutions, with a focus on GenAI applications. - Driving innovation by staying current with advancements in AI, particularly generative models and LLM technologies. - Collaborating with a high-performing team of data scientists to ensure alignment within AI and Data Science initiatives. - Engaging in hands-on development and guiding best practices for code quality, version control, and ML/AI Ops pipelines. - Collaborating with cross-functional teams to integrate AI-driven solutions across platforms and services. - Championing a culture of experimentation and adoption of best practices, inspiring teams with a can-do attitude and acting as an AI role model. Qualifications required for this role include: - Bachelors degree in a related field with 10-12 years of experience, or Masters degree with 8-10 years of relevant experience. - Certifications in GenAI/ML platforms (AWS/Azure) are a plus. - Minimum 7 years working on advanced data science projects, including 2-3 years leading high-performing data science or ML teams. - Experience delivering GenAI and agentic solutions and proven ability to build and deploy scalable ML models using cloud services (AWS, Azure). - Deep understanding of autonomous AI agents and frameworks such as LangGraph, LangFuse, Chain of Thought (CoT), and ReACT. - Strong background in Retrieval-Augmented Generation (RAG) and knowledge grounding techniques. - Proficiency in Python and hands-on experience deploying models in production environments. Additionally, you should have the ability to translate complex algorithmic outputs into clear, outcome-oriented narratives for senior leadership. Preferred qualifications include experience in the commercial pharma industry, a masters in computer science or data science, familiarity with Agile methodologies for project delivery, and strong collaboration skills with cross-functional teams. Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities served. As an Agentic AI Engineer at Novartis, you will have the opportunity to contribute to breakthroughs that change patients lives and create a brighter