Principal, Data Science (Sr. AI Engineer)
Posted Updated
Description
We are seeking a hands-on AI Engineer to design, build, and deploy scalable AI and Generative AI solutions that accelerate innovation across Alcon RD. 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.
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 RD, Clinical, Regulatory, Quality, and Medical stakeholders to translate business needs into practical AI solutions.
- 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.
- 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.
- 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 RD stakeholders.
Work hours: 1 PM to 10 PM IST
Relocation assistance: Yes
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Skills
- Agentic AI
- AI
- API
- API Gateway
- Athena
- AutoGen
- AWS
- AWS Bedrock
- CI/CD
- Cloud
- Cloud Native
- CloudFormation
- CrewAI
- Data Science
- Docker
- DynamoDB
- ECS
- EKS
- FastAPI
- Flask
- Generative AI
- GitHub
- GitHub Actions
- Kubernetes
- Lambda
- LangGraph
- LLM
- Machine Learning
- Microservices
- MLOps
- Model Evaluation
- Neo4j
- Observability
- OpenSearch
- Prompt Engineering
- Python
- RAG
- REST
- S3
- SageMaker
- Solution Design
- Stakeholder Management
- Terraform
- Vector Databases