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 skilled 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 contemporary 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:

Bachelors or Masters degree in Computer Science Data Science Artificial Intelligence Engineering or a related technical field.

57 years of experience in software cloud data or AI engineering with hands-on delivery of production-grade solutions.

Robust 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

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Required Experience:

Senior IC

📌 Principal, Data Science (Sr. AI Engineer) (Bengaluru)
🏢 Alcon Research
📍 Bengaluru