AI Engineer

About the job

The AI Engineer will lead a team of analysts and engineers to design, develop, and deploy AI-driven solutions that address complex business challenges. This role requires a blend of technical expertise, strategic thinking, and leadership skills to ensure successful delivery of AI projects and alignment with organizational goals. Location – Hyderabad #LI Hybrid Key Accountability - Lead and oversee technical delivery of AI projects, ensuring best practices in engineering and sustainable solutions. - Collaborate with business stakeholders to gather requirements and translate them into actionable AI strategies. - Identify and mitigate risks across project lifecycles, ensuring compliance and quality standards. - Stay ahead of emerging technology trends and assess their applicability for business innovation. - Represent the AI team in executive discussions and external forums as needed. - Guide the team on data sourcing strategies and ensure robust data governance. - Should have experience in testing AI products from AI landscape of Risk, Compliance, Jail breaking, Performance etc. - Ensure high-quality outputs and timely delivery of AI solutions. - Drive innovation by researching market trends and proposing new AI-driven approaches to business problems. Requirements Education: Bachelor’s/Master’s in Computer Science, Data Science, or related field. Experience: 5–7 years in AI/ML, data engineering, or analytics, with at least 2 years in a leadership role. Strong proficiency in Python/R, SQL, and ML frameworks (TensorFlow, PyTorch). Hands-on experience with cloud platforms (AWS, Azure) and tools like Databricks, SageMaker. Proven track record in deploying AI models as services using Azure ML, Kubernetes, and GitHub for version control. Deep understanding of either of Azure AI services or Microsoft Bedrock, NLP, computer vision, and generative AI models (e.g., GPT). Ability to design and document solution architectures and collaborate with enterprise architects. Strong business acumen to identify areas where AI can deliver measurable impact. Excellent communication and stakeholder management skills to bridge technical and business teams. Preferred Skills - Experience in MLOps practices and model lifecycle management. - Familiarity with transformers and LLMs for advanced AI applications. - Ability to mentor and develop team members, fostering a culture of innovation and collaboration. Why Novartis: Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world.

Requirements

• AI/ML
• Data Engineering
• Technical Leadership
• Python
• SQL
• ML Frameworks
• Cloud Platforms

Qualifications

• Bachelor’s
• Master’s in Computer Science
• Data Science

Preferred Technologies

• AI/ML
• Data Engineering
• Technical Leadership
• Python
• SQL
• ML Frameworks
• Cloud Platforms

Benefits

• Diversity and Inclusion Commitment
• Career Opportunities

About the company

Novartis is committed to reimagining medicine to improve and extend people’s lives and aims to be the most valued and trusted medicines company in the world. It's our associates that drive us each day to reach our ambitions.