Principal, Data Science (Sr. AI Engineer)
Core
Design, build, and deploy scalable AI and Generative AI solutions to accelerate innovation in MedTech R&D.
Role type
Principal, hands-on AI Engineer (Generative AI)
Builds
Retrieval-Augmented Generation (RAG), AI agents, copilots, intelligent document-processing solutions, secure APIs, and microservices.
Domain
MedTech, Healthcare, Life Sciences
Deliverable
production ML models
Required skills
Python, AWS (Bedrock, SageMaker, Lambda, ECS/EKS, S3, API Gateway, OpenSearch, DynamoDB, Glue, Athena, Step Functions), LLMs, prompt engineering, RAG architectures, vector databases, AI agents, model evaluation, REST APIs, microservices, Docker, Kubernetes, CI/CD, Terraform/CloudFormation
Preferred skills
MedTech/healthcare domain knowledge, responsible AI/governance/security, knowledge graphs (Neptune/Neo4j), multimodal AI, agentic frameworks (LangGraph, CrewAI, AutoGen), AWS certifications
Technologies
AWS, Python, FastAPI, Flask, Docker, Kubernetes, GitHub Actions, Terraform, CloudFormation, Amazon Bedrock, SageMaker, OpenSearch, Neo4j, LangGraph, CrewAI, AutoGen
Responsibilities
Design and develop AI/GenAI applications; Build RAG, AI agent, and copilot solutions; Develop secure, scalable APIs and microservices; Drive technical solution design and production deployment; Implement MLOps and GenAIOps practices; Collaborate with R&D, Clinical, Regulatory, and Medical stakeholders.
Seniority
Principal, hands-on IC
