Principal, Data Science (Sr. AI Engineer)

Summary of Position:

We are seeking a hands-on AI Engineer to design, build, and deploy scalable AI and Generative AI solutions that accelerate innovation across Alcon R&D. The ideal candidate combines strong AWS Cloud expertise, professional AI coding skills, software engineering discipline, and end-to-end solutioning experience to address complex MedTech challenges.

Key Responsibilities:

· 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.

Key Requirements/Minimum Qualifications:

· 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.

Preferred Qualifications:

· 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.

Success Profile

Technical Depth

Strong AI coding, AWS architecture, and production engineering skills.

Product Mindset

Focus on user value, scalability, quality, security, and measurable outcomes.

Solution Ownership

Ability to take use cases from discovery and design through deployment and support.

Collaboration

Ability to work effectively with technical teams and MedTech R&D stakeholders.

Work hours: 1 PM to 10 PM IST

Relocation assistance: Yes

Employment Scams: Alcon is aware of employment scams which make false use of our company name or leader’s names to defraud job seekers. Alcon does not offer any positions without interview and never asks candidates for money. All our current job openings are displayed here on the Careers section of our website, where you can search for open positions and apply directly.

If you have encountered a job posting or been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond, send money or personal information, and check our website for current job openings.

ATTENTION: Current Alcon Employee/Contingent Worker

If you are currently an active employee/contingent worker at Alcon, please click the appropriate link below to apply on the Internal Career site.

Find Jobs for Employees

Find Jobs for Contingent Worker

Alcon is an Equal Opportunity Employer and takes pride in maintaining a diverse environment. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital status, disability, or any other reason.