Data & AI Architect (Healthcare Real-World Data)

Job Description

Data & AI Architect (Healthcare / Real-World Data)

Employment Type : Full-Time

About the Role

We are seeking an experienced Data & AI Architect to lead the design and

implementation of our next-generation data and analytics this role you

will architect scalable secure and compliant data and AI solutions that drive

innovation in Healthcare and Real-World Data (RWD).

You will play a pivotal role in shaping how data is collected transformed governed and

leveraged for advanced analytics and AI - enabling life science / pharms professionals

and researchers to extract real-world insights that improve patient outcomes.

This position works closely with our Cloud Engineering & Product Teams as we

transition from a cloud-agnostic approach to an AWS-optimized infrastructure

including NVIDIA GPU acceleration for AI / ML workloads.

Key Responsibilities

Design and implement end-to-end data architecture spanning ingestion

storage transformation and consumption layers.

Build and optimize data pipelines for structured and unstructured healthcare

data (e.g. EHR claims genomic and patient-generated data).

Architect data lakehouse or hybrid solutions leveraging AWS-native services

(e.g. S3 Glue Redshift Athena EMR Lake Formation).

Define and implement data governance lineage and metadata management

frameworks to ensure quality traceability and compliance.

Collaborate with AI / ML teams to design and deploy machine learning pipelines

and MLOps workflows using SageMaker EKS or Kubeflow.

Integrate NVIDIA GPU-accelerated compute and frameworks (CUDA

TensorRT RAPIDS) to enable scalable AI / ML model training and inference.

Ensure all solutions meet HIPAA HITRUST and security compliance

requirements.

Partner with Cloud Architects Data Scientists and Product Teams to align data

strategy with business and research objectives.

Key Skills

Fund Management,Drafting,End User Support,Infrastructure,Airlines,Catia

Experience : years

Vacancy : 1