Principal, Data Science (Sr. AI Engineer)

Overview

Hands-on AI Engineer role to design, build and deploy scalable AI and Generative AI solutions that accelerate innovation across Alcon R&D, addressing complex MedTech challenges.

What you'll do

• Design and develop AI and Generative AI applications using AWS services and modern AI frameworks.
• Build Retrieval-Augmented Generation (RAG), AI agent, copilot, and intelligent document-processing solutions.
• Develop secure, scalable APIs, microservices, and cloud-native applications.
• Drive technical solution design, architecture reviews, rapid prototypes, and production deployment.
• Implement MLOps and GenAIOps practices, including CI/CD, testing, monitoring, observability, and governance.
• Collaborate with R&D, Clinical, Regulatory, Quality, and Medical stakeholders to translate business needs into practical AI solutions.

What you'll need

• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related technical field.
• 5–7 years of experience in software, cloud, data, or AI engineering, with hands-on delivery of production-grade solutions.
• Strong proficiency in Python and professional software engineering practices, including modular design, testing, code review, and AI-assisted coding.
• Hands-on AWS experience, preferably including Amazon Bedrock, SageMaker, Lambda, ECS/EKS, S3, API Gateway, OpenSearch, DynamoDB, Glue, Athena, and Step Functions.
• Experience with LLMs, prompt engineering, RAG architectures, vector databases, AI agents, and model evaluation.
• Experience developing REST APIs and microservices using frameworks such as FastAPI or Flask.
• Working knowledge of Docker, Kubernetes, GitHub Actions, Terraform or CloudFormation, and CI/CD pipelines.
• Strong analytical, problem-solving, communication, and stakeholder-management skills.

Nice to have

• Experience in MedTech, healthcare, life sciences, clinical research, medical devices, quality, or regulatory environments.
• Exposure to responsible AI, AI governance, security, privacy, and regulated-data practices.
• Experience with knowledge graphs, Amazon Neptune or Neo4j, multimodal AI, and agentic frameworks such as LangGraph, CrewAI, or AutoGen.
• Relevant AWS certification in Solutions Architecture, Developer, Data, AI, or Machine Learning.

Details

• Work hours: 1 PM to 10 PM IST.
• Relocation assistance: Yes.